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
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition
International Journal of Computer Vision
Bosphorus Database for 3D Face Analysis
Biometrics and Identity Management
Gappy PCA Classification for Occlusion Tolerant 3D Face Detection
Journal of Mathematical Imaging and Vision
3D Face Recognition Using Multiview Keypoint Matching
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Computer Vision and Image Understanding
A Set of Selected SIFT Features for 3D Facial Expression Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
3D Face Recognition Using Isogeodesic Stripes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Region Ensemble for 3-D Face Recognition
IEEE Transactions on Information Forensics and Security
3D partial face matching using local shape descriptors
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
Partial match of 3D faces using facial curves between SIFT keypoints
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes
International Journal of Computer Vision
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3D face recognition solutions proposed so far compare face scans of a probe subject against archived face scans (gallery), assuming the entire scans are available for both probe and gallery. Though the assumption is reasonable for subjects in the gallery---gallery scans are typically acquired in controlled environments following a collaborative protocol---the same assumption is not general if applied to probes. In fact, when face recognition is performed in un-collaborative contexts, the acquired probes may correspond to just a part of the face or may be altered by occlusions. In this work, we explicitly address these difficulties and propose and experiment an original solution to 3D face recognition that is inherently capable to accomplish the recognition task even in cases where the probe scan represents just a part of the face. In the proposed approach, distinguishing traits of the face are captured by first extracting SIFT keypoints on the face scan and then measuring how the face changes along linear paths, namely profiles, built between pairs of keypoints. The approach is experimented using the Face Recognition Grand Challenge dataset.