Ting et al., 2013 - Google Patents
Towards automatic landmarking on 2.5 D face range imagesTing et al., 2013
View PDF- Document ID
- 12919283768856651832
- Author
- Ting P
- Minoi J
- Publication year
- Publication venue
- 2013 8th International Conference on Information Technology in Asia (CITA)
External Links
Snippet
In this paper, we propose an algorithm to automatically landmark points on 2.5-dimensional (2.5 D) face images. We applied the Scale-invariant Feature Transform (SIFT) method to a new automatic landmarking method. Automatic landmarking has a number of added …
- 230000001815 facial 0 abstract description 10
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/48—Extraction of features or characteristics of the image by coding the contour of the pattern contour related features or features from contour like patterns, e.g. hand-drawn point-sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11176406B2 (en) | Edge-based recognition, systems and methods | |
| Jahanifar et al. | Supervised saliency map driven segmentation of lesions in dermoscopic images | |
| Khan et al. | An efficient contour based fine-grained algorithm for multi category object detection | |
| Creusot et al. | A machine-learning approach to keypoint detection and landmarking on 3D meshes | |
| Tuytelaars et al. | Local invariant feature detectors: a survey | |
| CN104156693B (en) | A kind of action identification method based on the fusion of multi-modal sequence | |
| CN105069466B (en) | Pedestrian's dress ornament color identification method based on Digital Image Processing | |
| Li et al. | Expression-robust 3D face recognition via weighted sparse representation of multi-scale and multi-component local normal patterns | |
| CN110021024B (en) | An image segmentation method based on LBP and chain code technology | |
| Wang et al. | Edge extraction by merging the 3D point cloud and 2D image data | |
| Shen et al. | Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images | |
| Han et al. | Robust anatomical landmark detection with application to MR brain image registration | |
| Chowdhary | 3D object recognition system based on local shape descriptors and depth data analysis | |
| CN106415606B (en) | An edge-based identification, system and method | |
| Anjomshoae et al. | Enhancement of template-based method for overlapping rubber tree leaf identification | |
| Khan et al. | Segmentation of single and overlapping leaves by extracting appropriate contours | |
| Quan et al. | Statistical shape modelling for expression-invariant face analysis and recognition | |
| Ahdid et al. | A survey on facial feature points detection techniques and approaches | |
| Lv | Robust and effective techniques for multi-modal image registration | |
| Ariana et al. | Color image segmentation using kohonen self-organizing map (som) | |
| Ting et al. | Towards automatic landmarking on 2.5 D face range images | |
| Rahimi et al. | Single image ground plane estimation | |
| Penate-Sanchez et al. | LETHA: Learning from high quality inputs for 3D pose estimation in low quality images | |
| Basu et al. | Anthropometric salient points and convolutional neural network (CNN) for 3D human body classification | |
| MAARIR et al. | Building detection from satellite images based on curvature scale space method |