JP4632250B2 - Attribute determination entertainment device by face - Google Patents

Description

  The present invention relates to a face attribute determination entertainment device, and in particular, photographs a person in front of a camera, detects a face portion from the image, and the detected face image is age, sex, occupation, nationality, hometown, The present invention relates to an entertainment device that determines which category of facial features is similar with respect to attributes such as facial expressions.

  In recent years, the performance of computers has dramatically improved, and image processing on computers has become possible at high speed compared to several years ago. In addition, due to the widespread use of inexpensive and high-resolution camera devices on the market, many devices that handle facial images have appeared.

For example, Patent Document 1 shown below by the present applicant discloses an apparatus for detecting a face image from an image taken by a camera. Similarly, Patent Document 2 by the present applicant states that the face image detected by any device shown in Patent Document 1 or the like relates to attributes such as age, gender, occupation, nationality, birthplace, facial expression, etc. An apparatus for analyzing and determining whether or not a feature is similar is disclosed.
Japanese Patent Application No. 2005-235936 (prior application) Japanese Patent Application No. 2005-037576 (prior application)

  However, in the past, the person in front of the camera was photographed, the face portion was detected from within the image, and the detected face image was related to attributes such as age, gender, occupation, nationality, hometown, facial expression, etc. Although it is possible to determine whether the category is similar to the facial feature of the category, there was no particular consideration regarding the application of the attribute determination result to entertainment.

  The object of the present invention has been made in view of the above problems, and applies and develops face attribute determination to entertainment, so that a series of processing from face photography to attribute determination result display has entertainment. Another object of the present invention is to provide an attribute determination entertainment device using a face.

In order to achieve the above-described object, the present invention provides a photographing means for photographing a person, a face detecting means for detecting a face portion from an image photographed by the photographing means, and a face detected by the face detecting means. image relates occupation attributes, and face recognition section including attribute determination means for determining whether the similar face feature of any category is a hierarchy lower the attribute, an input operation made by visitors including the person Control that performs overall control of the entire system, including processing on the site, management of visitor history information files, ranking aggregation of similarity to the facial features of the category, transmission of shooting commands to the face recognition unit, and email transmission means and, provided the effect Division comprising a effect display control means for effect control including the display and ranking display instructions on the operation of the visitors, the face of the person the physician There is first characterized in that to determine whether the similar face feature Les category.

Furthermore, the overall control means of the production control unit performs the ranking aggregation of a plurality of persons diagnosed by the entertainment device based on the similarity with the sample face images of each category that has been previously photographed, and the production The display control means presents a second feature in that it presents the ranking of each individual person, or presents the categories of the individual person's face and the top number of ranked winners for each category .

According to the present invention, a person in front of the camera is photographed, a face part is detected from within the image, and the detected face image relates to the occupation attribute, and the facial features of any category that is a lower hierarchy of the attribute whether the similar can be provided for determining entertainment device, it can be applied fortune-telling using the face, to entertainment, such as occupation diagnosis games.

  In addition, by using the result of similarity for each attribute calculated at the time of determination, and calculating the ranking for the category of a specific attribute, it is possible to determine how many of the visitors you have used the system so far. By checking, it can be relatively determined how similar to the category of the attribute. Furthermore, the effect of increasing the number of repeaters aiming for higher rank in the ranking display is produced.

  Hereinafter, the present invention will be described in detail with reference to the drawings. Here, for the sake of simplicity, we will take the occupation that is popular at the cutting edge of “Harajuku” in Tokyo as an attribute to be judged, and determine which occupation is similar to the facial features. An embodiment of the present invention will be described using an apparatus as an example, but the present invention is not limited to this.

  In the present embodiment, 12 types of male and female occupations are set as a category that is a lower hierarchy of the attribute. Specifically, as a male occupation, hair artist, charisma clerk, musician, fashion designer, DJ, talent, photographer, bartender, scout man, artist, web creator, sommelier, female profession, nail artist, charisma clerk, cosmetic shop clerk, A fashion designer, esthetician, model, stylist, waitress, campaign girl, artist, web creator and trimmer were set up.

  Next, FIG. 1 shows an outline of the configuration of the entertainment device of the present invention. As shown in FIG. 1, the entertainment device of this embodiment includes a face recognition unit 2, a production control unit 3, and a visitor information storage unit 4, which are connected by a network 1.

  FIG. 16 is a schematic image diagram of an example of the entertainment device. When a console (touch panel 3a) is placed on the floor of a room and the user (visitor) touches the touch panel 3a to start the entertainment device, the user is photographed by the DV camera 2a, and the user's The face image is displayed on the glass screen 2b. When a face image is photographed, face attribute determination is performed by the function of the face recognition unit 2 (details will be described later), and then the history information file of the visitor is managed by the function of the production control unit 3 (details will be described later). Processes such as ranking tabulation and transmission of shooting commands to the face recognition unit are performed, and the result is displayed on the result display monitor 3b. The face recognition unit 2, the production control unit 3, and the DB file server 4a are connected to each other via a network 1a.

Next, with reference to FIG. 1, an outline ((1) to (13)) of a series of processing flows of the present embodiment will be described.
(1) When a visitor starts this entertainment device, the attendance date and time is acquired by the production control unit 3 (for example, 14 digits 20050925184011)
(2) A history information file (20050925184011.txt) describing the date / time of visit, gender, and number of times of shooting is written from the production control unit 3 to the visitor information storage unit 4.
(3) A shooting command is transmitted from the production control unit 3 to the face recognition unit 2. (Example: 20050925184011)
(4) The history information file is read from the visitor information storage unit 4 to the face recognition unit 2, and the sex and the number of photographing are acquired.
(5) The face recognition unit 2 performs shooting, face detection, attribute analysis, and face guide display.
(6) The analysis result for each attribute is added from the face recognition unit 2 to the visitor information storage unit 4 and written in the history information file.
(7) The photographed face image is written from the face recognition unit 2 to the visitor information storage unit 4 as a photographed face image file (for example, 20050925184011.jpg).
(8) The photographing result is transmitted from the face recognition unit 2 to the production control unit 3 (S = 0 if unsuccessful, S = 1 if successful).
(9) The history information file is read from the visitor information storage unit 4 to the production control unit 3 and the attribute analysis result is acquired.
(10) The photographed face image file is read from the visitor information storage unit 4 to the production control unit 3 and the photographed face image is acquired.
(11) In the production control unit 3, the attribute determination result is displayed on the screen.
(12) In the production supervision part 3, the ranking is totaled and the ranking result is displayed on the screen.
(13) In the production supervision section 3, the top 10 ranked people are displayed on the screen.

  Hereinafter, specific examples of the configurations of the face recognition unit 2, the production control unit 3, and the visitor information storage unit 4 will be described with reference to the block diagrams of FIGS.

  As shown in FIG. 2, the face recognition unit 2 is necessary for performing CPU 21 that performs central processing of the apparatus, RAM 22 that temporarily stores data being processed, and detection and analysis of face images. A storage area 23 for storing data, a communication control unit 24 for transmitting / receiving control commands to / from the production control unit 3 and a file to / from the visitor information storage unit, and an audio output unit for presenting a start signal by voice 25, an image input unit 28 that captures a face image of the visitor, a VRAM 26 that temporarily stores the captured image, and an image display unit 27 that displays the temporarily stored image on the screen. The

  The CPU 21 of the face recognition unit 2 captures an image in accordance with a shooting command from the production control unit 3, automatically detects a face from the image, and analyzes which attribute is similar to the facial feature. Take control.

  The production control unit 3 includes a CPU 31 that performs central processing of the apparatus, a RAM 32 that temporarily stores data being processed, a storage area 33 that stores data necessary for displaying attribute determination results and a ranking summary list. A communication control unit 34 for exchanging control commands with the face recognition unit and for exchanging files with the visitor information storage unit, and a first VRAM 36 for temporarily holding a standby screen, an attribute determination result screen, and a ranking display screen An image display unit 37 for displaying a temporarily held screen, a second VRAM 35 for temporarily holding a standby screen and an instruction screen for operations to visitors, and a temporarily held screen. And a command input image display unit 38 having both a means for inputting and a means for inputting an operation from a visitor at the same time.

  This production control unit 3 controls the entire system, such as processing of input related to operations from visitors, management of visitor history information files, ranking aggregation, and transmission of shooting commands to the face recognition unit, and to visitors Effect control such as display of instructions relating to the operation of, display of attribute determination results, and ranking display.

  The visitor information storage unit 4 includes a CPU 41 that controls the central processing of the apparatus, a RAM 42 that temporarily stores data being processed, a storage area 43 that stores visitor information files, a face recognition unit, and a production control unit. It is comprised from the communication control part 44 which transmits / receives these files.

  The visitor information accumulating unit 4 accumulates the results of the analysis performed by the face recognition unit 2 as a history information file and the detected face image as a photographed face image for each visitor.

  Next, the operation of the entertainment device using the face attribute determination according to this embodiment will be described in detail with reference to FIGS. 5 is a flowchart showing the operation of the present embodiment, FIGS. 6 to 15 are display examples displayed on the image display units 27 and 37 during the operation of the present embodiment, and the storage areas 23, 33 and 43. Indicates the data to be read and written.

(a) Operation from standby state to (1) in FIG. 1 (steps S1 to S4 in FIG. 5)
The production control unit 3 provides image data from the first VRAM 36 of FIG. 3 to the image display unit 37 until a visitor visits, and repeatedly displays a simple animation on the image display unit 37 to display a standby state. continuing. At the same time, the instruction “Please touch the screen” is displayed on the second VRAM 35 and the command input image display unit 38 (for example, touch panel). First, when the visitor touches the touch panel, the time of the touch is 14 digits. It is given as a visit date and time. For example, the visit date and time of 18:40:11 on September 25, 2005 will be 20050925184011. The visit date and time is commonly used as the visitor identification information in the apparatus of the present invention. Next, a screen for instructing gender selection is displayed on the touch panel, and a visitor touches the touch panel to make a male-female selection. Further, a screen for instructing to start shooting is displayed on the touch panel, and a shooting start button is pressed.

  The CPU 31 controls all of the production control unit 3. The date and time of visit, by male and female, and the number of shootings are temporarily stored in the RAM 32. Here, the initial value of the number of shootings is set to 0 because the shooting has not been performed yet.

(b) Operations from (2) to (3) in FIG. 1 (Steps S5 to S6 in FIG. 5)
When the shooting start button is pressed, a history information file in which the date and time of visit, male and female, and the number of times of shooting are described is written in the storage area 43 (see FIG. 4) of the visitor information storage unit 4 with the file name 20050925184011.txt. It is.

  An example of the contents of the history information file is shown in FIG. In the example, 20050925184011 is entered as the date and time of visit in the first line, M meaning male as the gender in the second line, and 0 as the number of times of photography in the third line. Enter F for female. File writing is performed via the communication control unit 34 of the production control unit 3 and the communication control unit 44 of the visitor information storage unit 4.

  At the same time, a 14-digit visit date 20050925184011 is transmitted from the production control unit 3 to the face recognition unit 2. The visit date and time is transmitted / received via the communication control unit 34 of the production control unit 3 and the communication control unit 24 of the face recognition unit 2.

(c) Operations from (4) to (8) in FIG. 1 (Steps S7 to S12 in FIG. 5)
The face recognition unit 2 receives the 14-digit visit date 20050925184011 transmitted from the production control unit 3. The face recognition unit 2 reads the specified history information file 20050925184011.txt from the storage area 43 of the visitor information storage unit 4 with reference to the 14-digit visit date 20050925184011. The gender of the visitor and the number of shootings so far are acquired from the read history information file, and temporarily stored in the RAM 22. Reading of the file is performed via the communication control unit 24 of the face recognition unit 2 and the communication control unit 44 of the visitor information storage unit 4.

  In the VRAM 26 and the image display unit 27 (for example, a projector and a rear projection glass screen), an image currently captured by the image input unit 28 (for example, a digital video camera) is always displayed on the screen every moment. (Preview display). A signal such as “3. 2. 1. Shooting” is displayed by overwriting this screen display, and at the same time, a signal such as “3. 2. 1. Shooting” is also sent by voice output unit 25 (for example, a speaker). To indicate to the visitors that they are currently shooting. When shooting is finished, the cue on the screen is deleted, the audio cue is also muted, and the screen is returned to the preview display. The captured face image is temporarily stored in the RAM 22.

  Next, a face is detected from the captured image. For example, the face detection device of Patent Document 1 mentioned above can be used. This is a device that uses a face detection template stored in the storage area 23 to detect an area in which a face appears in a captured image. That is, template matching is performed in the photographed image, a place having the highest similarity to the template is determined as a face area, and the size and position are normalized and extracted.

  Further, it is analyzed whether the detected face image is similar to the facial features of any occupation among the professions prevalent in Harajuku. For example, the face attribute analysis device of Patent Document 2 mentioned above can be used. This is a device that analyzes and determines whether a detected face image is similar to a face feature in which category regarding attributes such as age, sex, occupation, nationality, birthplace, and facial expression.

  That is, the attribute data for analysis stored in the storage area 23 is compared with the detected face image, and the degree of similarity with the facial features of the occupation in Harajuku is quantified as a real number between 0 and 100%. Output by occupation. The closer the value is to 100, the higher the degree of similarity with the facial features of the occupation. At this time, the attribute data for sex analysis specified in the history information file 20050925184011.txt is used.

  For example, the date of visit 20050925184011 is 96.357664% similarity to hair artists, 71.645082% similarity to charisma salesmen, 45.691588% similarity to musicians, 42.135217% similarity to fashion designers, 46.906956% similarity to DJs , 42.956985% for talent, 45.505788% for cameraman, 53.034630% for bartender, 43.738767% for scoutman, 42.180756% for artist, 45.228242% for web creator The following explanation will be made assuming that the similarity to the sommelier was analyzed as 41.666865%.

  Here, in the description of the present embodiment, the facial features of occupations that are prevalent in Harajuku are the target of attribute determination, but analysis attribute data for that purpose is created in advance and stored in the storage area 23. It is necessary to keep. For example, in Patent Document 2, a plurality of sample face images collected by occupation are prepared, a face area is detected from them, and a normalized image is created. For example, 30 face photos of a charismatic clerk in the town of Harajuku are taken, a partial space is created that includes all of the sample face images, and the orthonormal eigenvectors that span the subspace are created for one profession as a charismatic clerk. Use attribute data for analysis.

  At this time, an average face for each occupation is created from the sample face image and is written in advance in the storage area 33 as an attribute average face. The average face is created by taking an average value for each occupation for the pixel values of the sample face image.

  If the face image detection process and the analysis process have failed, the flag S = 0. If successful, the flag S = 1. Although not shown in FIG. 5, in any case, it is preferable to increase the number of shootings by one. In particular, when face detection fails, a human-type guide frame is displayed on the preview display screen by the VRAM 26 and the image display unit 27 (see FIG. 7). When photographing again, the face detection rate is improved by aligning the face with the humanoid guide frame. The human-type guide frame will be deleted when the next shooting starts. If successful, as shown in FIG. 8, in the history information file 20050925184011.txt, describe the number of shots, describe the analysis results for each occupation in the order of the attribute serial number, the similarity to that attribute, and the attribute name, Write to the storage area 43 of the visitor information storage unit.

  20050925184011 as the visit date and time in the first line, M meaning male as the gender in the second line, 1 as the number of shootings in the third line, the analysis results of each occupation after the fourth line, 4 lines The eye is 96.357664% similarity to the hair artist with attribute number 001, the fifth line is 71.645082% similarity to the charismatic clerk with attribute number 002, the sixth line is 45.691588% similarity to the musician with attribute number 003, 7 Line 8 has 42.135217% similarity to fashion designer with attribute number 004, line 8 has 46.906956% similarity to DJ with attribute number 005, line 9 has 42.956985 similarity to talent with attribute number 006, line 10 Is 45.505788% similar to the photographer with attribute number 007, 113.0 is similar to the bartender with attribute number 008 is 53.034630%, 12th is similar to the scout man with attribute number 009 is 43.738767%, 13th is Artifact with attribute number 010 The 14th line shows 45.228242% similarity to the web creator with attribute number 011 and the 15th line shows 41.666865% similarity to the sommelier with attribute number 012. . At the same time, the detected face image is written into the storage area 43 of the visitor information storage unit 4 as a photographed face image 20050925184011.jpg.

  Reading and writing of the file is performed via the communication control unit 24 of the face recognition unit 2 and the communication control unit 44 of the visitor information storage unit 4. Finally, a flag S is transmitted from the face recognition unit 2 to the production control unit 3. Transmission / reception of the flag S is performed via the communication control unit 24 of the face recognition unit 2 and the communication control unit 34 of the production control unit 3.

  The CPU 21 performs all processing and control of the face recognition unit 2. A face detection template and analysis attribute data used for detection and analysis of a face image are temporarily stored in the RAM 22.

(d) Operations from (9) to (13) in FIG. 1 (Steps S13 to S21 in FIG. 5)
The production control unit 3 receives the flag S transmitted from the face recognition unit 2. If the flag S = 1, it is determined that “the face image has been successfully captured, detected, and analyzed”, and the process proceeds to the next process. On the other hand, if the flag S = 0, it is determined as “failed”, the process returns to the shooting start process, and shooting is performed again. In other words, a screen supporting the start of shooting is displayed on the touch panel, and the shooting start button is awaited to be pressed. If successful, the history information file 20050925184011.txt and the photographed face image file 20050925184011.jpg are read from the visitor history storage unit.

  Using these visitor history information and photographed face images, and attribute average face images and attribute feature explanations stored in the storage area 33, an attribute determination result screen as shown in FIG. The image is displayed on the VRAM 36 and the image display unit 37. For example, the captured face image of the visitor himself / herself is displayed on the upper left. For example, the similarities with each occupation are arranged in descending order, the top three occupations are extracted, and the occupation names and similarities are displayed. The example shows that the first place is 96% hair artists, the second place is 72% charismatic clerk, and the third place is 53% bartender. Also, for example, the attribute average face image stored in the storage area 33 is read in the upper right of the screen, and the average face of the occupation determined as the first place is presented. In the example, the average face of the hair artist is displayed. At the same time, the attribute feature commentary stored in the storage area 33 is read and a sentence is presented regarding the facial features of the occupation determined to be first. In the example, the feature explanation of the hair artist is displayed. In addition, for example, a map showing in which area in the area where the occupation ranked first is distributed is shown in the lower left of the screen. The example shows the distribution area of hair artists. In addition, for example, fortune telling results in which love luck, money luck, and work luck are randomly output in five stages as today's Harajuku face fortune-telling at the lower right of the screen, and lucky colors and lucky items are illustrated.

  Here, a visitor who desires to send an email as a result of attribute determination to a mobile phone or the like registers a mail address by the second VRAM 35 and the command input image display unit 38. That is, a software keyboard as shown in FIG. 10 is displayed on the touch panel. Visitors can use this software keyboard to enter their email address and send the results of attribute determination. In the example, the email address harajuku@avc.kddilabs.jp is entered. The production supervision unit 3 sends an e-mail to the registered e-mail address through the attribute determination result via the communication control unit 34. An example of the attribute diagnosis result screen transmitted by mail is shown in FIG. From the result of attribute determination of FIG. 9, all the images are removed and only the text information is left.

  In addition, the production supervision unit 3 uses the visitor history file of the visitors who have visited in the past stored in the visitor information storage unit 4 to perform ranking tabulation by occupation and display the ranking results. This displays the degree of similarity of past visitors to the corresponding occupation in descending order, and displays the ranking of the current visitor for that theme occupation. The ranking result is displayed by “ranking of visitors who have visited this time / total number of visitors who have visited so far”.

  Here, a method for creating a ranking aggregation list, that is, details of the ranking aggregation method will be described. In this embodiment, a ranking summary list of 12 male occupations and 12 female occupations is stored in the storage area 33. The ranking totalization list of each occupation is described as shown in FIG. For all past visitors, the date and time of visit and the degree of similarity for the corresponding occupation are arranged over two lines and the degree of similarity is in descending order. The visitor's visit date and the degree of similarity to the corresponding occupation are inserted at an appropriate position where the degree of similarity maintains a descending order.

  For example, it is assumed that the visitor of this time is dated 20050925184011 and analyzed that the similarity is 96.357664% for the occupation of hair artist. The example in FIG. 12 shows that the total number of visitors in the past was 360, and this time the visitor this time was ranked 5th with a similarity of 96.357664% on the date of visit 20050925184011 regarding the occupation of hair artist . The total number and order of visitors used for ranking display can be obtained by counting from the top of the ranking summary list. In this case, the total number of visitors in the past is 360 and is the fifth place.

  Further, the production supervision unit 3 displays the ranking result on the theme occupation determined by the first VRAM 36 and the image display unit 37 on the screen. The theme occupation is an occupation determined by setting a different occupation every month, for example. An example of the ranking display screen is shown in FIG. For example, the average face of the theme occupation and the feature of the face are displayed on the left side of the screen using the attribute average face image, the attribute feature description sentence, and the ranking summary list of the theme occupation stored in the storage area 33. For example, the captured face image of the visitor himself / herself is displayed in the center of the screen. For example, on the right side of the screen, the ranking of the current visitor in this theme occupation is displayed as “the current visitor ranking / the total number of visitors so far”.

  Finally, the production control section displays the visitors who are ranked in the top 10 by the first VRAM 36 and the image display section 37. Using the attribute average face image and attribute feature commentary and the corresponding ranking summary list stored in the storage area 33, as shown in FIG. 14, the average face of the occupation and the commentary of the occupation are displayed at the leftmost end of the screen. On the right side, the face images, visit dates and similarities of the 10 visitors who ranked in the top point are displayed. At this time, the photographed face image of the corresponding visitor is read from the storage area 43 of the visitor information storage unit and displayed.

  The series of processes is completed as described above, and the production control unit 3 returns to the standby screen. On the other hand, a monthly ranking result indicating how many places are finally ranked at the end of every month is sent to the visitors who have registered their email addresses. The monthly ranking is text information having contents as shown in FIG. The example is for September 2005, and it shows that the total number of visitors was finally ranked 5th with 460 visitors.

  4 stores the history information file (for example, 20050925184011.txt) and the photographed face image file (for example, 20050925184011.jpg) created for each visitor in the storage area 43. Then, the accumulated data is exchanged between the above-described production control unit 3 and the face recognition unit 2 via the communication control unit 44. Further, the CPU 41 controls all of the visitor information storage unit 4. The history information file and the photographed face image file are temporarily stored in the RAM 42.

It is a system diagram showing a schematic configuration of an embodiment of an attribute determination entertainment device according to the present invention. It is a block diagram which shows the specific structural example of the face recognition part of FIG. It is a block diagram which shows the specific structural example of the production control part of FIG. It is a block diagram which shows the specific structural example of the visitor information storage part of FIG. It is a flowchart which shows the operation example of embodiment of this invention. It is a figure which shows the example of a description of a log | history information file. It is a figure which shows the example of a display of the image display part of a face recognition part. It is a figure which shows the example of description of a log | history information file. It is a figure which shows the example of a display (attribute determination result display screen) of the image display part of an effect supervision part. It is a figure which shows the example of a display of a software keyboard. It is a figure which shows the example of a display (attribute determination result mail) of the image display part of a production control part. It is a figure which shows a ranking totalization list and its description example. It is a figure which shows the example of a display (ranking total result display screen) of the image display part of a production control part. It is a figure which shows the example of a display (top 10 display screen) of the image display part of a production control part. It is a figure which shows an example of a ranking totalization result mail. It is an image figure of an example of the entertainment apparatus of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Network, 2 ... Face recognition part, 3 ... Production supervision part, 4 ... Visitor information storage part.

Claims (9)

Photographing means for photographing a person;
Face detecting means for detecting a face portion from within the image photographed by the photographing means;
A face recognition unit including an attribute determination unit that determines whether a face image detected by the face detection unit is similar to a facial feature of any category that is a lower hierarchy of the attribute with respect to occupation attributes ;
Processing for an input operation performed by a visitor including the person, management of a visitor's history information file, ranking totalization for similarity to the facial features of the category, transmission of a shooting command to the face recognition unit, and mail transmission An overall control unit that performs overall control including the system, and an effect display control unit that includes effect display control means for performing effect control including display and ranking display of instructions regarding operations to the attendees ,
A face attribute determination entertainment device for determining whether the face of the person is similar to the face feature of which category. In the attribute determination entertainment device according to claim 1,
A face attribute determination entertainment device, wherein a plurality of occupations for each gender are set as the category, and sample face images of each category are captured and stored in advance . In the attribute determination entertainment device by the face according to claim 2,
The attribute determination unit compares the face image of the person photographed by the photographing unit with the sample face image of each category that has been previously captured and accumulated , and the degree of conformity with each category to be diagnosed is 0. A face attribute determination entertainment device characterized by determining with a similarity of ˜100. In the attribute determination entertainment device according to claim 1,
The face attribute determination entertainment device, wherein the photographing means is capable of photographing again when a face photograph is photographed due to a photographing failure or an unfavorable image. In the attribute determination entertainment device according to claim 1 ,
The overall control unit of the production control unit performs the ranking aggregation of a plurality of persons diagnosed by the entertainment device based on the similarity to the sample face images of each category that has been previously photographed , and the production display control unit includes: A face attribute determination entertainment device characterized by presenting a ranking for each category of an individual. In the attribute determination entertainment device according to claim 1 ,
The overall control unit of the production control unit performs ranking aggregation of a plurality of persons diagnosed by the entertainment device based on the similarity to the sample face images of each category that has been previously photographed , and the production display control unit A face attribute-categorized entertainment device, which presents the ranked categories of each face and the faces of the top ranked winners of each category. In the attribute determination entertainment device according to claim 1 ,
The face attribute determination entertainment device, wherein the control unit of the effect control section transmits the attribute determination result and the ranking result of each individual person by mail. In the attribute determination entertainment device according to claim 1,
The control unit of the production control unit performs management of the visitor history information file by performing identification of the visitor by giving a 14-digit ID consisting of date and time. Judgment entertainment device. In the attribute determination entertainment device according to claim 1 ,
The effect display control means of the effect control unit compares the image with the subject's face image by presenting the average face of the attribute determined as the first place on the attribute determination result display screen as the display of the attribute determination result. A face attribute determination entertainment device characterized by having enhanced entertainment as possible.

Images