Using multi-instance enrollment to improve performance of 3D face recognition
Computer Vision and Image Understanding
A 3D face matching framework for facial curves
Graphical Models
Automatic 3D face recognition from depth and intensity Gabor features
Pattern Recognition
3D Signatures for Fast 3D Face Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Nasal Region-Based 3D Face Recognition under Pose and Expression Variations
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
3D face recognition with sparse spherical representations
Pattern Recognition
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Technical Section: Expression modeling for expression-invariant face recognition
Computers and Graphics
Fast and efficient 3D face recognition using wavelet networks
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Regional registration for expression resistant 3-D face recognition
IEEE Transactions on Information Forensics and Security
Elastic radial curves to model 3D facial deformations
Proceedings of the ACM workshop on 3D object retrieval
Recognition of 3D faces with missing parts based on profile networks
Proceedings of the ACM workshop on 3D object retrieval
Online learning from local features for video-based face recognition
Pattern Recognition
Robust 3D face recognition based on resolution invariant features
Pattern Recognition Letters
Optimal regions for linear model-based 3D face reconstruction
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Fast and Accurate 3D Face Recognition
International Journal of Computer Vision
3D partial face matching using local shape descriptors
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
2D representation of facial surfaces for multi-pose 3D face recognition
Pattern Recognition Letters
Robust 3d face recognition based on rejection and adaptive region selection
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Distinguishing Facial Features for Ethnicity-Based 3D Face Recognition
ACM Transactions on Intelligent Systems and Technology (TIST)
On the simultaneous recognition of identity and expression from BU-3DFE datasets
Pattern Recognition Letters
Robust sparse bounding sphere for 3D face recognition
Image and Vision Computing
Efficient 3D face recognition handling facial expression and hair occlusion
Image and Vision Computing
Selecting 3D curves on the nasal surface using AdaBoost for person authentication
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
Partial match of 3D faces using facial curves between SIFT keypoints
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
Adaptive registration for occlusion robust 3d face recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Robust learning from normals for 3d face recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Computer Vision and Image Understanding
Multi-pose 3D face recognition based on 2D sparse representation
Journal of Visual Communication and Image Representation
An efficient 3D face recognition approach using local geometrical signatures
Pattern Recognition
A novel framework for automatic 3D face recognition using quality assessment
Multimedia Tools and Applications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, we introduce a new system for 3D face recognition based on the fusion of results from a committee of regions that have been independently matched. Experimental results demonstrate that using 28 small regions on the face allow for the highest level of 3D face recognition. Score-based fusion is performed on the individual region match scores and experimental results show that the Borda count and consensus voting methods yield higher performance than the standard sum, product, and min fusion rules. In addition, results are reported that demonstrate the robustness of our algorithm by simulating large holes and artifacts in images. To our knowledge, no other work has been published that uses a large number of 3D face regions for high-performance face matching. Rank one recognition rates of 97.2% and verification rates of 93.2% at a 0.1% false accept rate are reported and compared to other methods published on the face recognition grand challenge v2 data set.