DocumentCode :
2373900
Title :
Robust face alignment based on local texture classifiers
Author :
Zhang, Li ; Ai, Haizhou ; Xin, Shengjun ; Huang, Chang ; Tsukiji, Shuichiro ; Lao, Shihong
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
We propose a robust face alignment algorithm with a novel discriminative local texture model. Different from the conventional descriptive PCA local texture model in ASM, classifiers using LUT-type Haar-like features are trained from a large data set as local texture model. The strong discriminative power of the classifier greatly improves the accuracy and robustness of local searching on faces with expression variation and ambiguous contours. A Bayesian framework is configured for shape parameter optimization and the algorithm is implemented in a hierarchical structure for efficiency. Extensive experiments are reported to show its accuracy and robustness.
Keywords :
Bayes methods; face recognition; image classification; image texture; optimisation; Bayesian framework; active shape model; descriptive PCA local texture model; face alignment; local texture classifiers; shape parameter optimization; Active appearance model; Artificial intelligence; Bayesian methods; Computer science; Electronic mail; Face detection; Laboratories; Principal component analysis; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530065
Filename :
1530065
Link To Document :
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