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Hybrid-Boost Learning for Multi-Pose Face Detection and Facial Expression Recognition

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3 Author(s)
Hsiuao-Ying Chen ; Nat. Tsing-Hua Univ., Hsin-Chu ; Chung-Lin Huang ; Chih-Ming Fu

This paper proposes a novel multi-class hybrid-boost learning algorithm for multi-pose face detection and facial expression recognition. This system detects human face in different sizes, various poses, partial-occlusion, and different expressions. The contribution of this paper is the hybrid boosting algorithm combining the Haar-like (local) features and Gabor-like (global) features. The experimental results show that our system has better performance than the others.

Published in:

Multimedia and Expo, 2007 IEEE International Conference on

Date of Conference:

2-5 July 2007

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