A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Point Signatures: A New Representation for 3D Object Recognition
International Journal of Computer Vision
3D Human Face Recognition Using Point Signature
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Matching 2.5D Face Scans to 3D Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Automatic 3D Face Detection, Normalization and Recognition
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Journal of Cognitive Neuroscience
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Computer Vision and Image Understanding
Component-based face recognition with 3D morphable models
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition
International Journal of Computer Vision
A highly repeatable feature detector: improved Harris---Laplace
Multimedia Tools and Applications
Keypoint identification and feature-based 3D face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Computer Vision and Image Understanding
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Machine recognition of faces is very challenging because it is an interclass recognition problem and the variation in faces is very low compared to other biometrics. Global features have been extensively used for face recognition however they are sensitive to variations caused by expressions, illumination, pose, occlusions and makeup. We present a novel 3D local feature for automatic face recognition which is robust to these variations. The 3D features are extracted by uniformly sampling local regions of the face in locally defined coordinate bases which makes them invariant to pose. The high descriptiveness of this feature makes it ideal for the challenging task of interclass recognition. In the 2D domain, we use the SIFT descriptor and fuse the results with the 3D approach at the score level. Experiments were performed using the FRGC v2.0 data and the achieved verification rates at 0.001 FAR were 98.5% and 86.0% for faces with neutral and non-neutral expressions respectively.