Paper: | IMDSP-L8.6 |
Session: | Biometrics |
Time: | Thursday, May 18, 15:40 - 16:00 |
Presentation: |
Lecture
|
Topic: |
Image and Multidimensional Signal Processing: Biometrics |
Title: |
3D Face Recognition Using Affine Integral Invariants |
Authors: |
Shuo Feng, Hamid Krim, North Carolina State University, United States; Irene Gu, Mats Viberg, Chalmers University of Technology, Switzerland |
Abstract: |
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%. |