Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
IEEE Transactions on Pattern Analysis and Machine Intelligence
Description and retrieval of 3D face models using iso-geodesic stripes
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
2D and 3D face recognition: A survey
Pattern Recognition Letters
3D face verification using a free-parts approach
Pattern Recognition Letters
A 3D face matching framework for facial curves
Graphical Models
3D face recognition by modeling the arrangement of concave and convex regions
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Hybrid face recognition based on real-time multi-camera stereo-matching
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
3D face matching using the surface interpenetration measure
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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A new approach to face verification from 3D data is presented. The method uses 3D registration techniques designed to work with resolution levels typical of the irregular point cloud representations provided by Structured Light scanning. Preprocessing using a-priori information of the human face and the Iterative Closest Point algorithm are employed to establish correspondence between test and target and to compensate for the non-rigid nature of the surfaces. Statistical modelling in the form of Gaussian Mixture Models is used to parameterise the distribution of errors in facial surfaces after registration and is employed to differentiate between intra- and extra-personal comparison of range images. An Equal Error Rate of 2.67% was achieved on the 30 subject manual subset of the the 3d_rma database.