3D Face Recognition Using Affine Integral Invariants
Paper in proceedings, 2006

A new 3D face representation and recognition approach is presented in this paper. Two sets of facial curves are extracted from a face range image, and a novel facial feature representation, the affine integral invariant, is introduced to mitigate the effect of pose on the facial curves. A human face is shown to be representable by a small subset of those affine integral invariant curves. A recognition procedure based on the Discriminant Analysis and Jensen-Shannon Divergence analysis is proposed. Substantiating examples are provided with an achieved classification accuracy of 92.57%.

Author

S Feng

H. Krim

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Mats Viberg

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

IEEE international conf. on ASSP (ICASSP-06)

Vol. II 189-192

Subject Categories

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

More information

Created

10/7/2017