Title
3D Face Recognition Using Affine Integral Invariants
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%
Year
DOI
Venue
2006
10.1109/ICASSP.2006.1660311
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference
Keywords
Field
DocType
face recognition,feature extraction,image representation,3D face recognition,3D face representation,Jensen-Shannon divergence analysis,affine integral invariants,discriminant analysis,feature representation
Affine transformation,Affine shape adaptation,Computer vision,Facial recognition system,3D single-object recognition,Harris affine region detector,Pattern recognition,Affine combination,Computer science,Artificial intelligence,Linear discriminant analysis,Affine hull
Conference
Volume
ISSN
ISBN
2
1520-6149
1-4244-0469-X
Citations 
PageRank 
References 
2
0.36
12
Authors
4
Name
Order
Citations
PageRank
Shuo Feng120.36
Hamid Krim2102.33
Irene Gu320.36
Mats Viberg41043126.67