Dornaika et al., 2008 - Google Patents
Evaluation of an appearance-based 3D face tracker using dense 3D dataDornaika et al., 2008
View PDF- Document ID
- 8991154281349490152
- Author
- Dornaika F
- Sappa A
- Publication year
- Publication venue
- Machine Vision and Applications
External Links
Snippet
The ability to detect and track human heads and faces in video sequences can be considered as the finest level of any video surveillance system. In this paper, we introduce a general framework for evaluating our recent appearance-based 3D face tracker using dense …
- 238000011156 evaluation 0 title abstract description 29
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
- G06K9/00221—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
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
-
- 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
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
-
- 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
- G06K9/00288—Classification, e.g. identification
-
- 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
- G06K9/00228—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- 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
- G06T2207/10004—Still image; Photographic image
- G06T2207/10012—Stereo images
-
- 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
-
- 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
- G06K9/00201—Recognising three-dimensional objects, e.g. using range or tactile information
-
- 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
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Habermann et al. | Deepcap: Monocular human performance capture using weak supervision | |
Heinzmann et al. | 3-D facial pose and gaze point estimation using a robust real-time tracking paradigm | |
EP2751777B1 (en) | Method for estimating a camera motion and for determining a three-dimensional model of a real environment | |
Ye et al. | Performance capture of interacting characters with handheld kinects | |
Dornaika et al. | Fast and reliable active appearance model search for 3-d face tracking | |
Ye et al. | Accurate 3d pose estimation from a single depth image | |
Malassiotis et al. | Robust real-time 3D head pose estimation from range data | |
EP2843621A1 (en) | Human pose calculation from optical flow data | |
Seo et al. | 3D body reconstruction from photos based on range scan | |
Ye et al. | Free-viewpoint video of human actors using multiple handheld kinects | |
Knossow et al. | Human motion tracking with a kinematic parameterization of extremal contours | |
Pressigout et al. | Hybrid tracking algorithms for planar and non-planar structures subject to illumination changes | |
Niese et al. | A Novel Method for 3D Face Detection and Normalization. | |
Krzeszowski et al. | Gait recognition based on marker-less 3D motion capture | |
Darujati et al. | Facial motion capture with 3D active appearance models | |
Fechteler et al. | Real-time avatar animation with dynamic face texturing | |
Dornaika et al. | Efficient active appearance model for real-time head and facial feature tracking | |
Dornaika et al. | Face and facial feature tracking using deformable models | |
De Aguiar et al. | Marker-less 3D feature tracking for mesh-based human motion capture | |
Dai | Modeling and simulation of athlete’s error motion recognition based on computer vision | |
Okada et al. | Virtual fashion show using real-time markerless motion capture | |
Brunton et al. | Statistical shape spaces for 3D data: A review | |
Dornaika et al. | Evaluation of an appearance-based 3D face tracker using dense 3D data | |
Wang et al. | Shape reconstruction of human foot from multi-camera images based on PCA of human shape database | |
Dornaika et al. | Appearance-based 3D face tracker: an evaluation study |