JP7661996B2 - Interior image forming system and interior image forming program - Google Patents

Description

This disclosure relates to an interior image forming system and an interior image forming program for the interior of a building.

An interior coordination system for coordinating interiors is known (for example, see Patent Document 1). In the system of this document, the server includes a user information receiving unit that receives input of a user's basic information, a room information receiving unit that receives input of room information including room shape information, and an image generating unit that generates a 3D spatial image of the room based on the shape information. The server further outputs to the user terminal a coordinated image in which multiple interior items are arranged in the 3D spatial image. The server narrows down the interior items based on information about the user's taste preferences.

JP 2021-96545 A

As described above, there are known techniques for forming interior images. In the conventional techniques, items to be placed in a target space are selected based on the preferences of a user.
In architecture, it takes a lot of time and effort to decide on an interior design plan. In addition, it is difficult to decide on an interior design plan. Since there are a huge number of factors to decide on the interior, users may not be able to narrow down their preferences. Even when a user selects a favorite item, the item may be placed in the target room and the interior as a whole may not match the user's preferences. Even if a designer analyzes the user's preferences based on an image of an interior sample and proposes an interior design plan, the proposal may not match the user's preferences. In this way, the creation of an interior design plan may not proceed smoothly.

(1) An interior image forming system that solves the above problem is an interior image forming system that forms an interior image of a target space of a building, and includes a storage unit and an image forming unit, the storage unit stores a component database including a component data set of components surrounding the target space, an object database including an object data set of objects to be placed in the target space, and structural data related to the structure of the target space, and the image forming unit forms an interior image of the target space based on the structural data, the component data set selected from the component database, and the object data set selected from the object database.

With this configuration, instead of deciding the interior by selecting individual elements of the interior, the components surrounding the target space can be set all at once. And because there are no restrictions on the combination of the set of components surrounding the target space and the set of objects to be placed in the target space, it is easy to create an interior image that meets the user's needs or is close to the user's needs.

(2) In the interior image forming system of (1) above, the component data set is configured to have a predetermined sensibility as the entire component data set, and the object data set is configured to have a predetermined sensibility as the entire object data set. With this configuration, the components surrounding the target space can be selected based on a user's preferred sensibility. Also, the objects to be placed in the target space can be selected based on a user's preferred sensibility. This allows the interior design to be smoothly determined based on the user's sensibility.

(3) The interior image forming system of (2) above further includes an information management unit that manages data, and the information management unit manages the component data set in a state where the data set is classified into a plurality of groups associated with sensitivities, and manages the object data set in a state where the data set is classified into a plurality of groups associated with sensitivities.

According to this configuration, since the component data sets are classified into multiple groups related to sensitivities, it is easy to narrow down the candidates when selecting a component data set. Similarly, since the object data sets are classified into multiple groups related to sensitivities, it is easy to narrow down the candidates when selecting an object data set.

(4) The interior image forming system of (3) above further includes a first selection unit and a second selection unit, the first selection unit, based on receiving a designation of a plurality of groups related to the sensibility, selects the component data set belonging to the designated group from the component database and outputs the selected component data set to the image forming unit, the second selection unit, based on receiving a designation of a plurality of groups related to the sensibility, selects the object data set belonging to the designated group from the object database and outputs the selected object data set to the image forming unit, and the image forming unit forms the interior image based on the component data set output from the first selection unit, the object data set output from the second selection unit, and the structural data.

According to this configuration, a component data set for creating an interior image is determined by specifying one of multiple sensory groups for the components surrounding the target space. Similarly, an object data set for creating an interior image is determined by specifying one of multiple sensory groups for the objects to be placed in the target space. In this way, an interior image can be easily created.

(5) In the interior image forming system of (4) above, the plurality of groups related to the sensitivities are respectively associated with the sensitivities of quiet, excellent, cool, warm, glossy, and musical. With this configuration, the members surrounding the target space and the objects to be placed in the target space can be selected with any one of the sensitivities of quiet, excellent, cool, warm, glossy, and musical.

(6) In the interior image forming system of (3) above, the information management unit manages the object data set in a state where the object data set is classified into a plurality of groups associated with a different index different from the sensibility. With this configuration, the object data set can be selected based on a different index different from the sensibility.

(7) The interior image forming system of (6) above further includes a first selection unit and a second selection unit, the first selection unit, based on receiving a designation for a plurality of groups related to the sensibility, selects the component data set belonging to the designated group from the component database and outputs the selected component data set to the image forming unit, the second selection unit, based on receiving a designation for a plurality of groups related to the sensibility and a designation for a plurality of groups related to the other indicator, selects the object data set belonging to the designated group from the object database and outputs the selected object data set to the image forming unit, and the image forming unit forms the interior image based on the component data set output from the first selection unit, the object data set output from the second selection unit, and the structural data.

According to this configuration, a component data set for creating an interior image is determined by specifying one of multiple emotion-related groups for the components surrounding the target space. An object data set for creating an interior image is determined by specifying one of multiple emotion-related groups for the objects to be placed in the target space, and one of multiple groups related to another index. In this way, an interior image can be easily created.

(8) In the interior image forming system of (7) above, the multiple groups related to the sensitivities are associated with the sensitivities of quiet, elegant, dignified, warm, glossy, and musical, respectively, and the multiple groups related to the other indices are associated with high price and low price.

With this configuration, the components surrounding the target space can be selected using any one of the following sensitivities: quiet, elegant, cool, warm, glossy, and melody. In addition, the objects to be placed in the target space can be selected using an index separate from the sensitivities.

(9) An interior image formation program that solves the problem is an interior image formation program that causes a computer to form an interior image of a target space of a building based on data, the data including a component database including a component data set of components surrounding the target space, an object database including an object data set of objects to be placed in the target space, and structural data regarding the structure of the target space, and includes a step of forming an interior image of the target space based on the structural data, the component data set selected from the component database, and the object data set selected from the object database.

With this configuration, an interior image can be created using structural data, a data set of components surrounding the target space, and a data set of objects to be placed in the target space. In addition, since there are no restrictions on the combination of the data set of components surrounding the target space and the data set of objects to be placed in the target space, it is easy to create an interior image that meets the user's needs or is close to the user's needs.

The interior image forming system and interior image forming program disclosed herein can easily create interior images that meet the user's needs or are close to the user's needs.

FIG. 1 is a block diagram of an interior imaging system. 1 is a schematic diagram of a system including an interior imaging system. FIG. 2 is a schematic diagram of a component database. FIG. 1 is a schematic diagram of an entity database. FIG. 13 is a diagram of table data. FIG. 13 is a diagram illustrating the formation of an interior image. FIG. 13 is a diagram showing a first example of an interior image. FIG. 13 is a diagram showing a second example of an interior image. FIG. 13 is a diagram showing a third example of an interior image. FIG. 13 is a diagram showing an interior image changed by a change unit.

The interior image forming system 1 will be described with reference to Figures 1 to 10. The interior is also called interior. The interior includes at least one of fittings, fixtures, finishing materials, incidental equipment, furniture, curtains, art, and small items. The finishing materials include floor finishing materials, wall finishing materials, and ceiling finishing materials. The incidental equipment includes lighting, outlets, and switches. The interior in this embodiment includes at least one of the following first groups and at least one of the following second groups. The first group includes as components those that surround the target space related to the interior. For example, the first group includes fittings, fixtures, finishing materials, curtains, and outlets and switches among the incidental equipment. The second group includes as components those that are placed in the target space related to the interior. For example, the second group includes lighting, furniture, art, and small items among the incidental equipment. The interior image forming system 1 is composed of information terminals such as personal computers and smartphones. The interior image forming system 1 is composed of the hardware of the information terminal and software installed on the information terminal. Users of the interior image forming system 1 include designers, users who request interior design, and sales representatives. Users of the interior image forming system 1 may also include the general public. The general public includes people who want to own a home in the future and people who are interested in homes.

The interior image forming system 1 forms an interior image 36P of a target space of a building. The interior image 36P may be formed as a two-dimensional image or a three-dimensional image. An example of the interior image 36P is a perspective drawing. The interior image 36P is a type of simulation image formed based on component data related to the interior.

The space selected as the target space is the space surrounded by walls, ceiling, and floor within the room. The space selected as the target space is the space before the interior construction work is carried out, and is the space that will be configured as an indoor room through the interior construction work. Examples of spaces selected as the target space include a space that will become a living room, a space that will become a dining room, a space that will become a living-dining room, a space that will become a dining-kitchen room, and a space that will become a living-dining-kitchen room.

As shown in FIG. 1, the interior image forming system 1 includes a storage unit 11 and an image forming unit 12. The interior image forming system 1 further includes an information management unit 13. The interior image forming system 1 further includes a first selection unit 14 and a second selection unit 15. The interior image forming system 1 further includes an output unit 16. The interior image forming system 1 may further include a change unit 17.

As shown in FIG. 2, the interior image forming system 1 is configured to be connected to a display unit 21. The display unit 21 is a display that displays information. The interior image forming system 1 outputs information, such as an interior image 36P, to the display unit 21. The interior image forming system 1 is configured to be connected to an input unit 22 for inputting information. The input unit 22 is configured as a keyboard, a touchpad, or a touch panel. The interior image forming system 1 may include the display unit 21. The interior image forming system 1 may include the input unit 22.

The interior image forming system 1 may include an external server 25 connected via a network N. A storage unit 11 may be provided in the external server 25. The image forming unit 12 may also be provided in the external server 25. In this case, the interior image forming system 1 acquires an interior image 36P formed by the external server 25 by communicating with the external server 25 via the network N. The interior image forming system 1 outputs the interior image 36P acquired from the external server 25 to the display unit 21 via the output unit 16.

The image forming unit 12 includes one or more CPUs (Central Processing Units) or MPUs (Micro Processing Units) that operate according to a program. The image forming unit 12 may be configured as a circuit including a CPU or MPU, a circuit including an application specific integrated circuit (ASIC), or a combination of these circuits. The image forming unit 12 may include memory such as a RAM (Random Access Memory) and a ROM (Read Only Memory). The memory stores a program configured to cause the CPU to execute processing.

[Memory unit]
The storage unit 11 is configured with a semiconductor memory such as a RAM or a ROM, a hard disk, a magnetic tape, or an optical disk. The storage unit 11 stores a component database 31, an object database, and structure data 30.

[data]
3, the component database 31 includes a component data set 32 of components surrounding a target space. In FIG. 3, an example of an image 32P of the component data set 32 obtained by imaging the component data set 32 is shown.

The components surrounding the target space include ceiling materials, wall materials, floor materials, and curtains.
The component data set 32 is composed of component data for each of a plurality of components surrounding the target space. The component data includes at least pattern data for the surface of the component. The component data may include surface data indicating the surface condition of the component. The surface condition indicates the unevenness, smoothness, and gloss of the component surface.

The component data set 32 is configured to have a predetermined sensibility as a whole of the component data set 32. The component set is configured to express one of several predefined sensibility as a whole of the component set. Sensibility will be described later.

The component data constituting the component data set 32 is configured to be exchangeable with other component data. The other component data is component data that is not included in the original component data set 32. The other component data may be stored in the storage unit 11 or in the external server 25. For example, the external server 25 includes component data for each of a plurality of ceiling materials. In the component data set 32, the component data for a ceiling material can be exchanged with one of the component data for a ceiling material stored in the external server 25.

As shown in FIG. 4, the object database 33 includes an object data set 34 of objects to be placed in the target space. FIG. 4 shows an example of an image 34P of the object data set 34, which is an image of the object data set 34.

The objects to be placed in the target space include, for example, a TV stand, a sofa, a table, a shelf, and a chair. The tables include a center table and a dining table.
The object data set 34 is composed of object data for each of a plurality of objects arranged in the target space. The object data includes at least pattern data for the surface of the object and shape data for the object. The object data may include surface data indicating the surface condition. The surface condition indicates the unevenness, smoothness, and gloss of the surface of the object.

The object data set 34 is configured to have a predetermined sensibility as a whole of the object data set 34. The object set is configured to express one of several predefined sensibility as a whole of the object set.

The object data constituting the object dataset 34 is configured to be exchangeable with other object data. The other object data is object data that is not included in the original object dataset 34. The other object data may be stored in the storage unit 11 or in the external server 25. For example, the external server 25 includes object data for each of a plurality of shelves. In the object dataset 34, the object data for a shelf can be exchanged with one of the object data for a shelf stored in the external server 25.

Structural data 30 is data related to the structure of the target space. The target space is constructed by building structural elements that make up the structure of a building. The building structural elements include columns, beams, girders, wall underlayment materials, ceiling underlayment materials, and floor underlayment materials. The structural data 30 includes shape data of the building structural elements and positional relationship data that indicates the positional relationships of the building structural elements.

[Sensibility]
We will now explain sensibility. Sensibility indicates the impression or image that a person feels toward the interior. There are various sensibility. For example, sensibility can be a quiet feeling, a tranquil feeling, a warm feeling, a cool feeling, an inorganic feeling, a cold feeling, a cool feeling, an old-fashioned feeling, a retro feeling, an American feeling, a rough feeling, a gorgeous feeling, a simple feeling, a rustic feeling, a rough feeling, a wilderness feeling, a Japanese-style feeling, an Arabian feeling, a sacred feeling, a feeling of life, a natural feeling, a lonely feeling, and the like.

In this embodiment, interiors are classified into six sensitivities. Furthermore, interiors are classified into two groups within each sensitivity.

The six sensitivities are represented by the images of stillness, grace, dignity, warmth, gloss, and melody. Interiors can be generally classified according to these six sensitivities. The way in which interiors are classified is not limited to six types. Interiors may be classified according to four sensitivities, or eight sensitivities. The number of types of sensitivities for classifying interiors is preferably ten or less, and more preferably eight or less.

Each group of sensitivities is further classified into a first side and a second side. The first side and the second side represent sensitivities that are a subdivision of each of the sensitivities classified into the six sensitivities. The first side and the second side are names used for convenience when classifying by nuance.

There are differences in nuance among sets of components or sets of objects that are classified into the same sensibility. In order to classify sets of components or sets of objects that are in the same sensibility by nuance, a first side and a second side of a subordinate concept are provided in each sensibility. The sensitivities of the first side and the second side of the subordinate concept in each sensibility are different for each sensibility.

Next, we will explain the image of each sensibility.

Shizuka is an emotional image of interior design that expresses a smooth and airy feeling. The overall color scheme is low-contrast with similar colors, and furniture and accessories with rounded silhouettes are characteristic of Shizuka.

Yu is an interior design concept that expresses a refreshing atmosphere. The combination of natural wood and white creates a clean impression, and the soft curves of the furniture make the most of the wood material.

Rin is an interior design sensibility that expresses a tense atmosphere. Rin is characterized by furniture that expresses space using calming natural materials, or furniture with sharp lines.

Dan is an emotional image of interior design that expresses a warm and airy feeling. Colors that make use of the texture of the materials themselves and furniture with a sense of stability are the characteristics of Dan.

Gloss is the emotional image of interior design that expresses a luxurious atmosphere. The combination of dark colors and glossy materials, or furniture with a heavy feel, are characteristic of gloss.

Kanade is an emotional image of interior design that expresses an uplifting atmosphere. Kanade's distinctive feature is that it evokes the image of a simple space with simple finishes, against which color can be added with furniture and accessories, or enjoyed with silhouettes.

[Information Management Department]
(a) Classification Management According to Sensitivity The information management unit 13 manages data.
The information management unit 13 manages the component data set 32 in a state where the component data set 32 is classified into a plurality of groups related to emotions. The plurality of emotion-related groups are respectively related to the emotions of "still", "excellent", "cool", "warm", "glossy", and "playful". In other words, the information management unit 13 manages the component data set 32 in a state where the component data set 32 belongs to any one of the groups "still", "excellent", "cool", "warm", "glossy", and "playful".

The information management unit 13 further manages the component data set 32 in a state in which the components are classified into a plurality of groups according to differences in nuance in sensitivity. The plurality of groups classified according to differences in nuance are classified into either a first side or a second side.

In this embodiment, a classification code is associated with each of the 12 groups, which are made up of six types of sensitivities and differences in nuance. The information management unit 13 manages the component data set 32 by assigning classification codes to the component data set 32.

The component set related to the component data set 32 belongs to one of the groups: Silent, Excellent, Cool, Warm, Glossy, and Playful.

The information management unit 13 manages the object dataset 34 in a state where it is classified into a plurality of groups associated with emotions. Each of the plurality of emotion-related groups is associated with one of the emotions of stillness, excellent, coolness, warmth, glossiness, and melody. In other words, the information management unit 13 manages the object dataset 34 in a state where it belongs to one of the groups of stillness, excellent, coolness, warmth, glossiness, and melody. The object dataset 34 belongs to one of the groups of stillness, excellent, coolness, warmth, glossiness, and melody.

The information management unit 13 further manages the object data set 34 in a state in which the object data set 34 is classified into a plurality of groups according to differences in nuance in sensitivity. The plurality of groups classified according to differences in nuance are classified into either a first side or a second side. The information management unit 13 manages the object data set 34 by assigning a classification code to the object data set 34, in the same manner as in the case of the component data set 32.

(b) Classification Management by Separate Indicator The information management unit 13 manages the object data set 34 in a state where the object data set 34 is classified into a plurality of groups associated with a separate index different from the sensibility. Each of the plurality of groups associated with the separate index includes a level 1 and a level 2. The object data set 34 belongs to either the level 1 or the level 2.

The separate index indicates a different perspective other than the impression or image a person has of an object. The separate index is not limited. Examples of the separate index include the price of the object, the quality of the object, and the place of origin of the object. In this embodiment, the separate index is the price of the object. In this embodiment, level 1 means high price pair. Level 2 means low price pair.

[Prepared data]
Regarding the component data sets 32, component data sets 32 that are compatible with each of the six sensitivities are prepared in advance. Two component data sets 32 are prepared in advance for each sensitivity. In addition, in each sensitivity, one of the two component data sets 32 is configured to be compatible with the first side, and the other is configured to be compatible with the second side. Thus, the storage unit 11 stores 12 component data sets 32 that are different in sensitivities and sub-concepts of sensitivities.

As for the object datasets 34, object datasets 34 that match each of the six sensitivities are prepared in advance. Four object datasets 34 are prepared in advance for each sensitivity. Then, for each sensitivity, two of the four object datasets 34 are configured to match the first side, and the other two are configured to match the second side. Furthermore, one of the two object datasets 34 that match the first side of each sensitivity is configured to match level 1, and the other is configured to match level 2. One of the two object datasets 34 that match the second side of each sensitivity is configured to match level 1, and the other is configured to match level 2. Thus, the storage unit 11 stores 24 object datasets 34 that differ in sensitivities, sub-concepts of sensitivities, and levels.

Images 32P relating to the component data set 32 are displayed on the display unit 21 via the output unit 16. Images 32P of the component data set 32 are displayed on the display unit 21 together with information on the group to which the component data set 32 belongs. For example, an image 32P of a component data set 32 that is "static" and classified as "first side" is displayed on the display unit 21 together with the names "static" and "first side". This allows the user to understand which group the displayed component data set 32 belongs to. A user of the interior image forming system 1 can display the component data sets 32 in sequence on the display unit 21 by performing a specified operation on the input unit 22. The user can check the component data sets 32 via the display unit 21.

Images 34P related to the object dataset 34 are displayed on the display unit 21 via the output unit 16. Images 34P of the object dataset 34 are displayed on the display unit 21 together with the name of the group to which the object dataset 34 belongs and information on other indicators. For example, an image 34P of an object dataset 34 that is "still" and classified as "first side" and "level 1" is displayed on the display unit 21 together with the names "still", "first side", and "level 1". This allows the user to understand which group the displayed object dataset 34 belongs to and what level it is. A user of the interior image forming system 1 can display the object datasets 34 in sequence on the display unit 21 by performing a predetermined operation on the input unit 22. The user can check the object dataset 34 via the display unit 21.

Referring to Figure 5, the selection of groups for the component data set 32 and the selection of groups for the object data set 34 will be described.

[First selection unit]
The first selection unit 14 is provided to select a component data set 32 from the component database 31. The first selection unit 14 receives designation of a plurality of groups related to sensitivities from the input unit 22. Designation of a plurality of groups related to sensitivities can be performed by several methods.

In the first example, a designer who has grasped the user's preferences for the components surrounding the target space designates a group related to sensibility. The designer understands the user's preferences by interviewing the user. The designer understands the user's preferences while showing images 32P of the component data set 32 for each of multiple groups. The designer identifies which sensibility the user's preference belongs to from the interview. For example, if the user's preferred sensibility is "first side" of "stillness," the designer designates the group of "stillness" and "first side." The designation of multiple groups related to sensibility is stored as table data 35 (see FIG. 5).

In the second example, the user specifies the components surrounding the target space. The user sequentially checks the images 32P in the component data set 32 displayed on the display unit 21. The component data set 32 displayed on the display unit 21 belongs to one of a plurality of groups related to sensitivity. The user selects one of the images 32P in the component data set 32. This indirectly specifies one of the plurality of groups related to sensitivity. The information management unit 13 specifies the group related to sensitivity based on the user's selection of the image 32P in the component data set 32. For example, when the user selects an image 32P in the component data set 32 that belongs to the group "static" and "first side", the information management unit 13 specifies the group "static" and "first side" based on this selection. The specification related to sensitivity is stored as table data 35 (see FIG. 5). By storing in this way, the user's preferences are left as data. The specification of the group may be stored in the storage unit 11, and the component data set 32 selected by the user may be stored in the storage unit 11.

Based on the designation of multiple sensory groups, the first selection unit 14 selects a component data set 32 belonging to the designated group from the component database 31 (see FIG. 5). Then, the first selection unit 14 outputs the selected component data set 32 to the image forming unit 12.

[Second Selection Unit]
The second selection unit 15 is provided to select an object data set 34 from the object database 33. The second selection unit 15 receives designation of a plurality of groups related to feelings from the input unit 22. The designation of a plurality of groups related to feelings can be performed by several methods.

In the first example, a designer who has grasped the user's preferences for objects to be placed in the target space designates a group related to sensibility. The designer understands the user's preferences by interviewing the user. The designer understands the user's preferences while showing images 34P of the object dataset 34 for each of multiple groups. The designer identifies which sensibility the user's preference belongs to from the interview. For example, if the user's preferred sensibility is the "second side" of "excellent," the designer designates the group of "excellent" and "second side." The designation of multiple sensibility-related groups is stored as table data 35 (see FIG. 5).

In the second example, the user specifies the object to be placed in the target space. The user sequentially checks the images 34P related to the object dataset 34 displayed on the display unit 21. The object dataset 34 displayed on the display unit 21 belongs to one of a plurality of groups related to sensibility. The user selects one of the images 34P related to the object dataset 34. This indirectly specifies one of a plurality of groups related to sensibility. The information management unit 13 specifies a group related to sensibility based on the user's selection of the image 34P related to the object dataset 34. For example, when the user selects an image 34P of the object dataset 34 that belongs to the group "Excellent" and "Second Side", the information management unit 13 specifies the group "Excellent" and "Second Side" based on this selection. The specification related to sensibility is stored as table data 35 (see FIG. 5). By storing in this way, the user's preferences are left as data. The specification of the group may be stored in the storage unit 11, and the object dataset 34 selected by the user may be stored in the storage unit 11.

The second selection unit 15 receives a designation of multiple groups related to a different index from the input unit 22. The designation of multiple groups related to a different index is specified by the user or the designer. When the different index is a price range, it is specified by the user or the designer who has confirmed the user's intention. The index for the different index is specified via the input unit 22.

The second selection unit 15 receives a designation for multiple groups related to sensibility (hereinafter, first designation). Furthermore, the second selection unit 15 receives a designation for multiple groups related to another index (hereinafter, second designation).

Based on the first and second designations, the second selection unit 15 selects an object data set 34 belonging to the designated group from the object database 33 (see FIG. 5). Then, the second selection unit 15 outputs the selected object data set 34 to the image forming unit 12.

[Image forming unit]
The image forming unit 12 will be described with reference to Fig. 6. Fig. 6 is a diagram for explaining the formation of an interior image 36P. Fig. 6 displays an image 30P obtained by imaging the structure data 30, an image 32P obtained by imaging the component data set 32, and an image 34P obtained by imaging the object data set 34.

The image forming unit 12 forms an interior image 36P of the target space based on the structure data 30, the component data set 32, and the object data set 34. Specifically, the interior image 36P is formed by arranging the component data set 32 and the object data set 34 in the space indicated in the structure data 30. The component data set 32 is output from the first selection unit 14. The object data set 34 is output from the second selection unit 15. The interior image 36P is displayed on the display unit 21 via the output unit 16.

[Changed part]
Changes to the interior image 36P will be described with reference to Figures 9 and 10. The interior image 36P shown in Figure 10 is obtained by changing the component data relating to the table in the interior image 36P shown in Figure 9 to component data relating to the sofa.

The modification unit 17 modifies the component data selected from the component data set 32 in the interior image 36P formed by the image forming unit 12. Specifically, the modification unit 17 modifies the component data of the interior image 36P by selecting the component data to be modified in the interior image 36P and by selecting component data from data stored in the external server 25.

The modification unit 17 also modifies the object data selected from the object data set 34 in the interior image 36P formed by the image forming unit 12. Specifically, the modification unit 17 modifies the object data in the interior image 36P by selecting the object data to be modified in the interior image 36P and by selecting object data from data stored in the external server 25. The modification unit 17 can modify the interior image 36P in accordance with the user's requests.

[Operation of this embodiment]
The interior design is created based on the user's preferences. In the first example, for the target space, the materials constituting the walls, the materials constituting the ceiling, the materials constituting the floor, the shelves to be placed in the target space, the tables to be placed in the target space, and the chairs to be placed in the target space are selected one by one from a catalog. In this example, after all the elements constituting the interior of the target space are determined, it is necessary to further adjust the design by changing the materials in order to harmonize the entire interior. In the second example, the designer grasps the user's preferences and then creates a perspective drawing according to the user's preferences. In order to grasp the user's preferences, the designer prepares several interior perspective drawings according to the sensibilities in advance. The several interior perspective drawings according to the sensibilities (hereinafter, reference perspective drawings) include all of the walls, ceilings, floors, shelves, tables, and chairs of the target space and are configured to be harmonious as a whole. The user can specify the user's preferences by looking at the reference perspective drawing.

However, the reference perspective drawing specified by the user may actually be far from the user's preferences. One of the reasons for this is that while user preferences are diverse, the number of reference perspective drawings is limited. Although it is possible to increase the number of reference perspective drawings, when viewing the entire interior as one, it is difficult to classify them into a large number of groups based on sensibility.

In this embodiment, rather than viewing the entire interior as a single object, the entire interior is divided into the components surrounding the target space and the objects to be placed in the target space. The set of components surrounding the target space and the set of objects to be placed in the target space are each classified by sensitivity. The user's preferred sensitivity for the components surrounding the target space and the user's preferred sensitivity for the objects to be placed in the target space are then obtained independently. An interior image 36P is then formed based on the component data set 32 for the components surrounding the target space, the object data set 34 for the objects to be placed in the target space, and the structural data 30. This makes it possible to prevent the interior image 36P from deviating from the user's preferences.

By combining the component data set 32 for the components surrounding the target space and the object data set 34 for the objects to be placed in the target space, it is possible to create a new sensibility that is difficult to express using the sensibility when viewing the interior as a whole. Here, the new sensibility is not something that does not exist in conventional sensibility, but rather a sensibility that has been difficult to express. While such new sensibility is difficult for a designer to come up with, it may match the user's preferences. In other words, the system of this embodiment makes it possible to grasp the user's preferences, which were previously difficult to grasp.

With reference to Figures 7 to 9, we will explain an example of combining the component data set 32 and the object data set 34. Based on the example of the combination, we will explain a new sensibility that is difficult to express using conventional methods.

Figure 7 is a diagram of a first example of an interior image 36P. The first example of the interior image 36P is an interior image 36P formed by combining a component data set 32 of "Excellent" and "First Side" with an object data set 34 of "Excellent" and "First Side". In this example, the component data set 32 and the object data set 34 are unified by the same sensibility.

Figure 8 is a diagram of a second example of an interior image 36P. The second example interior image 36P is formed by combining a component data set 32 of "Yu" and "First Side" with an object data set 34 of "Kanade" and "Second Side". The second example interior image 36P is an interior image 36P in which the object data set 34 in the first example interior image 36P has been changed to an object data set 34 with a different sensibility. Conventionally, the components surrounding the target space and the objects placed in the target space are often unified into the same sensibility. In contrast, in this example, the sensibility of the objects placed in the target space is different from the sensibility of the components surrounding the target space. This interior image 36P shows a sensibility that was difficult to express using conventional methods.

Figure 9 is a diagram of a third example of an interior image 36P. The third example interior image 36P is formed by combining a component data set 32 of "quiet" and "second side" with an object data set 34 of "excellent" and "first side". The third example interior image 36P is an interior image 36P in which the component data set in the first example interior image 36P has been changed to a component data set 32 with a different sensibility. Conventionally, the components surrounding the target space and the objects placed in the target space are often unified into the same sensibility. In contrast, in this example, the sensibility of the objects placed in the target space is different from the sensibility of the components surrounding the target space. This interior image 36P shows a sensibility that was difficult to express using conventional methods.

In this way, the interior image forming system 1 can easily create a wide variety of interior images 36P with different sensitivities. This makes it easy to create interior images 36P that meet the user's needs or that are close to the user's needs.

[Effects of this embodiment]
(1) In the interior image forming system 1, the image forming unit 12 forms an interior image 36P of the target space based on structural data 30, a component data set 32 selected from a component database 31, and an object data set 34 selected from an object database 33.

With this configuration, instead of deciding the interior by selecting individual elements of the interior, the components surrounding the target space can be set all at once. Also, the objects to be placed in the target space can be set all at once. Furthermore, there are no restrictions on the combination of the set of components surrounding the target space and the set of objects to be placed in the target space. This allows for a wide variety of interior designs as a whole.

Conventionally, interior designs are determined on the assumption that the user's preferences for the materials surrounding the target space are the same as the user's preferences for the objects to be placed in the target space. This results in the same theme for the interior as a whole. However, since users have different tastes and lifestyles, users may not be looking for beautiful harmony or uniformity in the interior as a whole. For this reason, it is difficult to meet the user's needs with interior images 36P based on conventional interior determination methods, and it can take a long time to arrive at an interior image 36P that matches the user's needs.

In this regard, in the above configuration, there are no limitations on the combination of the set of components surrounding the target space and the set of objects to be placed in the target space, making it easy to create an interior image 36P that meets the user's needs or is close to the user's needs.

(2) The component data set 32 is configured to have a predetermined sensibility as the entire component data set 32. The object data set 34 is configured to have a predetermined sensibility as the entire object data set 34. With this configuration, the components surrounding the target space can be selected based on a user's preferred sensibility. In addition, the objects to be placed in the target space can be selected based on a user's preferred sensibility. This allows the interior design to be smoothly determined based on the user's sensibility.

(3) In the interior image forming system 1, the information management unit 13 manages the component data set 32 in a state in which the data set is classified into multiple groups associated with sensitivities. The information management unit 13 manages the object data set 34 in a state in which the data set is classified into multiple groups associated with sensitivities.

According to this configuration, since the component data set 32 is classified into a plurality of groups related to sensitivities, it is easy to narrow down the candidates when selecting the component data set 32. Similarly, since the object data set 34 is classified into a plurality of groups related to sensitivities, it is easy to narrow down the candidates when selecting the object data set 34.

(5) In the interior image forming system 1, the multiple groups related to sensitivities are respectively associated with the sensitivities of quiet, excellent, cool, warm, glossy, and musical. With this configuration, the components surrounding the target space and the objects to be placed in the target space can be selected with any one of the sensitivities of quiet, excellent, cool, warm, glossy, and musical.

(6) In the interior image forming system 1, the information management unit 13 manages the object data set 34 in a state in which the object data set 34 is classified into multiple groups associated with a different index different from the sensibility. With this configuration, the object data set 34 can be selected based on the different index different from the sensibility.

(7) The interior image forming system 1 further includes a first selection unit 14 and a second selection unit 15. The first selection unit 14 selects a component data set 32 belonging to a group related to the designation from the component database 31 based on receiving a designation related to the sensitivity. The second selection unit 15 selects an object data set 34 belonging to a group related to these designations from the object database 33 based on receiving a designation related to the sensitivity and a designation related to another index. The image forming unit 12 forms an interior image 36P based on the component data set 32 output from the first selection unit 14, the object data set 34 output from the second selection unit 15, and the structure data 30.

According to this configuration, a component data set 32 for creating an interior image 36P is determined by specifying one of multiple emotion-related groups for the components surrounding the target space. An object data set 34 for creating an interior image 36P is determined by specifying one of multiple emotion-related groups for the objects to be placed in the target space, and one of multiple groups related to another indicator. In this way, the interior image 36P can be easily created. Furthermore, because information on another indicator is added as information other than emotion, it becomes easier to create an interior image 36P that meets the user's needs.

(8) In the interior image forming system 1, the multiple groups related to sensibility are associated with the sensibility of quiet, elegant, cool, warm, glossy, and musical. The multiple groups related to other indicators are associated with high price and low price.

With this configuration, the components surrounding the target space can be selected using any one of the following sensitivities: quiet, elegant, cool, warm, glossy, and melody. In addition, the objects to be placed in the target space can be selected using an index separate from the sensitivities.

<Modification>
The above embodiment is an example of a form that the interior image forming system 1 can take, and is not intended to limit the form. The system can take a form different from the form exemplified in the above embodiment. Examples of such a form include a form in which a part of the configuration of the embodiment is replaced, changed, or omitted, or a form in which a new configuration is added to the embodiment. Modifications of the embodiment are shown below.

[Modification of the second selection unit]
In the embodiment, the second selection unit 15 receives designation of a plurality of groups related to the sensibility and a plurality of groups related to the other index. In contrast, in the configuration of the second selection unit 15, receiving designation of a plurality of groups related to the other index may be omitted.

In this case, the second selection unit 15 selects an object data set 34 belonging to the specified group from the object database 33 based on receiving the designation of multiple groups related to the sensibility. The second selection unit 15 then outputs the selected object data set 34 to the image formation unit 12. The image formation unit 12 forms an interior image 36P based on the component data set 32 output from the first selection unit 14, the object data set 34 output from the second selection unit 15, and the structure data 30.

According to this configuration, a component data set 32 for creating an interior image 36P is determined by specifying one of multiple sensory groups for the components surrounding the target space. Similarly, an object data set 34 for creating an interior image 36P is determined by specifying one of multiple sensory groups for the objects to be placed in the target space. In this way, the interior image 36P can be easily created.

[program]
The above-described interior image forming system 1 may be configured by a program.
The interior image forming program causes a computer to form an interior image 36P of a target space of a building based on data. The data includes a member database 31 including a member data set 32 of members surrounding the target space, an object database 33 including an object data set 34 of objects to be placed in the target space, and structure data 30 related to the structure of the target space. The interior image forming program executes the following steps. In the steps, the interior image forming program causes a computer to form an interior image 36P of the target space based on the structure data 30, the member data set 32 selected from the member database 31, and the object data set 34 selected from the object database 33.

With this configuration, an interior image 36P can be formed using structural data 30, a component data set 32 surrounding the target space, and an object data set 34 to be placed in the target space. In addition, since there are no restrictions on the combination of the component data set 32 surrounding the target space and the object data set 34 to be placed in the target space, it is easy to form an interior image 36P that meets the user's needs or that is close to the user's needs.

The technical aspects disclosed in the specification are disclosed below.
[Appendix 1]
The technology of Supplementary Note 1 is an interior image forming system that forms an interior image of a target space of a building. The interior image forming system includes a storage unit and an image forming unit. The storage unit stores a component database including a component data set of components surrounding the target space, an object database including an object data set of objects to be placed in the target space, and structural data related to a structure of the target space. The image forming unit forms an interior image of the target space based on the structural data, the component data set selected from the component database, and the object data set selected from the object database.

[Appendix 2]
In the interior image forming system described in Supplementary Note 1, the component data set is configured to have a predetermined sensibility as a whole of the component data set. The object data set is configured to have a predetermined sensibility as a whole of the object data set.

[Appendix 3]
The interior image forming system described in Supplementary Note 1 further includes an information management unit that manages data. The information management unit manages the component data set in a state where the component data set is classified into a plurality of groups associated with sensitivities. The information management unit manages the object data set in a state where the object data set is classified into a plurality of groups associated with sensitivities.

[Appendix 4]
The interior image forming system described in Supplementary Note 3 further includes a first selection unit and a second selection unit. The first selection unit, based on receiving a designation of a plurality of groups related to the sensibility, selects the component data set belonging to the designated group from the component database, and outputs the selected component data set to the image forming unit. The second selection unit, based on receiving a designation of a plurality of groups related to the sensibility, selects the object data set belonging to the designated group from the object database, and outputs the selected object data set to the image forming unit. The image forming unit forms the interior image based on the component data set output from the first selection unit, the object data set output from the second selection unit, and the structure data.

[Appendix 5]
In the interior image forming system described in appendix 4, the plurality of groups related to the sensitivities are respectively associated with the sensitivities of quiet, elegant, dignified, warm, glossy, and musical.

[Appendix 6]
In the interior image forming system described in Supplementary Note 3, the information management unit manages the object data set in a state in which the object data set is classified into a plurality of groups associated with different indices different from the sensibility.

[Appendix 7]
The interior image forming system described in Supplementary Note 6 further includes a first selection unit and a second selection unit. The first selection unit, based on receiving a designation of a plurality of groups related to the sensibility, selects the component data set belonging to the designated group from the component database, and outputs the selected component data set to the image forming unit. The second selection unit, based on receiving a designation of a plurality of groups related to the sensibility and a designation of a plurality of groups related to the other index, selects the object data set belonging to the designated group from the object database, and outputs the selected object data set to the image forming unit. The image forming unit forms the interior image based on the component data set output from the first selection unit, the object data set output from the second selection unit, and the structure data.

[Appendix 8]
In the interior image forming system according to claim 7, the plurality of groups related to the sensitivities are associated with sensitivities of quiet, excellent, dignified, warm, glossy, and musical. The plurality of groups related to the other indexes are associated with high price and low price.

[Appendix 9]
The technology of Supplementary Note 9 is an interior image forming program that causes a computer to form an interior image of a target space of a building based on data. In the interior image forming program, the data includes a component database including a component data set of components surrounding the target space, an object database including an object data set of objects to be placed in the target space, and structural data related to a structure of the target space. The interior image forming program includes the following steps. In the steps, the interior image forming program causes a computer to form an interior image of the target space based on the structural data, the component data set selected from the component database, and the object data set selected from the object database.

1...interior image forming system, 11...storage unit, 12...image forming unit, 13...information management unit, 14...first selection unit, 15...second selection unit, 30...structural data, 31...component database, 32...component data set, 33...object database, 34...object data set, 36P...interior image.

Claims (5)

An interior image forming system for forming an interior image of a target space of a building,
The apparatus includes a storage unit, an image forming unit, an information management unit that manages data, a first selection unit, and a second selection unit,
The storage unit is
a component database including a component data set of components surrounding the target space;
an object database including an object data set of objects to be placed in the target space;
and structural data relating to a structure of the target space;
the information management unit manages the component data set in a state in which the component data set is classified into a plurality of groups associated with sensitivities, and manages the object data set in a state in which the object data set is classified into a plurality of groups associated with the sensitivities;
the first selection unit, based on receiving designation of a plurality of groups related to the sensibility of the user regarding a preferred sensibility of the user regarding a member surrounding the target space, which is independent of the preferred sensibility of the user regarding an object to be placed in the target space, selects the member data set belonging to the designated group from the member database, and outputs the selected member data set to the image forming unit;
the second selection unit, based on receiving designation of a plurality of groups related to the sensibility of the user with respect to a preferred sensibility of the user regarding an object to be placed in the target space, which is independent of the preferred sensibility of the user regarding a member surrounding the target space, selects the object data set belonging to the designated group from the object database, and outputs the selected object data set to the image forming unit;
The image forming unit forms the interior image of the target space based on the member data set output from the first selection unit, the object data set output from the second selection unit, and the structural data,
the plurality of groups associated with the sensitivities are "quiet,""gentle,""cool,""warm,""glossy," and "playful,"
The component data set is composed of component data for each of a plurality of components surrounding the target space, and is configured to have a predetermined sensibility as a whole of the component data set, the predetermined sensibility being any one of a plurality of groups associated with the sensibility;
The object data set is composed of object data for each of a plurality of objects to be arranged in the target space, and is configured to have a predetermined sensibility as a whole of the object data set, the predetermined sensibility being any one of a plurality of groups associated with the sensibility.
Interior imaging system. The information management unit
In addition to managing the object data set in a state where the object data set is classified into a plurality of groups associated with the sentiment, the object data set is further managed in a state where the object data set is classified into a plurality of groups associated with a different index different from the sentiment.
The interior imaging system of claim 1 . the second selection unit, based on receiving designation of a plurality of groups related to the sensitivity and a plurality of groups related to the other index, selects the object data set belonging to the designated group from the object database, and outputs the selected object data set to the image forming unit.
3. The interior imaging system of claim 2. The groups of different indices are associated with high prices and low prices.
4. The interior imaging system of claim 3. An interior image forming program for causing a computer to form an interior image of a target space of a building based on data,
The data includes a component database including a component data set of components surrounding the target space, an object database including an object data set of objects to be placed in the target space, and structural data regarding a structure of the target space;
The computer manages the component data set in a state in which the component data set is classified into a plurality of groups related to sensitivities, and manages the object data set in a state in which the object data set is classified into a plurality of groups related to sensitivities;
and,
causing the computer to perform the first, second, and third steps;
In the first step, the computer is caused to select, based on receiving designation of a plurality of groups related to the sensibility, the user's preferred sensibility for a member surrounding the target space, which is independent of the user's preferred sensibility for an object to be placed in the target space, the member data set belonging to the designated group from the member database;
In the second step, the computer is caused to select, based on receiving designation of a plurality of groups related to the sensibility, the user's preferred sensibility regarding objects to be placed in the target space, which is independent of the user's preferred sensibility regarding members surrounding the target space, the object data set belonging to the designated group from the object database;
In the third step, the computer is caused to generate the interior image of the target space based on the member data set selected in the first step, the object data set selected in the second step, and the structural data;
the plurality of groups associated with the sensitivities are "quiet,""gentle,""cool,""warm,""glossy," and "playful,"
The component data set is composed of component data for each of a plurality of components surrounding the target space, and is configured to have a predetermined sensibility as a whole of the component data set, the predetermined sensibility being any one of a plurality of groups associated with the sensibility;
The object data set is composed of object data for each of a plurality of objects to be arranged in the target space, and is configured to have a predetermined sensibility as a whole of the object data set, the predetermined sensibility being any one of a plurality of groups associated with the sensibility.
Interior image formation program.

Images