Labeling of human face components from range data
CVGIP: Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Human Face Recognition Using Point Signature
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face Identification across Different Poses and Illuminations with a 3D Morphable Model
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Multi-Resolution Fitting and its Application to Realistic Head Modeling
GMP '04 Proceedings of the Geometric Modeling and Processing 2004
Journal of Cognitive Neuroscience
Expression-invariant 3D face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
Computer Vision and Image Understanding
Integration of local and global geometrical cues for 3D face recognition
Pattern Recognition
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of face images using local iterated function systems
Machine Vision and Applications
Extracting Structured Topological Features from 3D Facial Surface: Approach and Applications
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Local feature extraction and matching on range images: 2.5D SIFT
Computer Vision and Image Understanding
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Computer Vision and Image Understanding
Discriminating 3D faces by statistics of depth differences
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
An efficient 3D face recognition algorithm
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Anthropometric 3D Face Recognition
International Journal of Computer Vision
Automatic 3d face recognition using discriminant common vectors
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Selection and extraction of patch descriptors for 3D face recognition
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Ultra fast GPU assisted face recognition based on 3d geometry and texture data
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Face recognition using 2d and 3d multimodal local features
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
A survey of 3d face recognition methods
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Rank-Based decision fusion for 3d shape-based face recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Learning effective intrinsic features to boost 3d-based face recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Face recognition in 2D and 2.5D using ridgelets and photometric stereo
Pattern Recognition
Augmented Small-Scale Database to Improve the Performance of Eigenface Recognition Technique
International Journal of Computer Vision and Image Processing
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Face recognition is a focused issue in pattern recognition over the past decades. In this paper, we have proposed a new scheme for face recognition using 3D information. In this scheme, the scattered 3D point cloud is first represented with a regular mesh using hierarchical mesh fitting. Then the local shape variation information is extracted to characterize the individual together with the global geometric features. Experimental results on 3D_RMA, a likely largest 3D face database available currently, demonstrate that the local shape variation information is very important to improve the recognition accuracy and that the proposed algorithm has promising performance with a low computational cost.