Face Recognition Using Range Images
VSMM '97 Proceedings of the 1997 International Conference on Virtual Systems and MultiMedia
Face Recognition Vendor Test 2002
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Face Recognition from 3D Data using Iterative Closest Point Algorithm and Gaussian Mixture Models
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
A Survey Of Approaches To Three-Dimensional Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
An Evaluation of Multimodal 2D+3D Face Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Journal of Cognitive Neuroscience
A GMM parts based face representation for improved verification through relevance adaptation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
What is the average human face?
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Feature distribution modelling techniques for 3D face verification
Pattern Recognition Letters
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This paper proposes a novel approach to 3D face verification which divides the 3D face into separate parts. This method, termed 3D free-parts, considers each part of the face independently and consequently the spatial relationship is discarded for the purpose of obtaining many observations from each face. Experiments illustrate the validity of the face verification system where the distribution of features are modelled robustly using Gaussian Mixture Models. This approach demonstrates a significant improvement over the eigenfaces approach, lowering the false rejection rate from 9.83% to 4.48% at a false acceptance rate of 0.1%, in tests conducted on 3D face data from the face recognition grand challenge database.