Sciweavers

Share
ICIP
2005
IEEE

Feedback-based dynamic generalized LDA for face recognition

9 years 12 months ago
Feedback-based dynamic generalized LDA for face recognition
Linear Discriminant Analysis(LDA) is widely-used in face recognition systems. However, with the traditional formulation, the available information in the training samples is not sufficiently utilized. In this paper, we present a new formulation, called Generalized LDA, where the scatter matrices are defined in a more flexible manner by identifying the fundamental principles of the scatter matrices construction. We further propose a novel framework called Feedback-based Dynamic Generalized LDA. It integrates the Generalized LDA and the dynamic feedback strategy for subspace analysis, in which the subspace is iteratively optimized by utilizing the feedback from the previous step. The comparative experiments demonstrate that the new framework achieves encouraging improvement on performances of both the face identification and the face verification.
Dahua Lin, Shuicheng Yan, Xiaoou Tang
Added 23 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2005
Where ICIP
Authors Dahua Lin, Shuicheng Yan, Xiaoou Tang
Comments (0)
books