Sciweavers

Share
ICIP
2005
IEEE

Robust face alignment based on local texture classifiers

8 years 10 months ago
Robust face alignment based on local texture classifiers
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.
Li Zhang, Haizhou Ai, Shengjun Xin, Chang Huang, S
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICIP
Authors Li Zhang, Haizhou Ai, Shengjun Xin, Chang Huang, Shuichiro Tsukiji, Shihong Lao
Comments (0)
books