Improved active shape model for facial feature localization
Hui‐Yu Huang, Shih-Hang Hsu · Research Repository (Delft University of Technology) · 2011
For face representation, the illumination effect is an important factor, in order to reduce illumination factor, we propose a facial feature location method based on improved active shape model (IASM) to reduce the drawback of intensity contrast and to enhance edge information. First, the face images are preprocessed by the proposed illumination normalization method using Gabor wavelets. Then, the location of facial features can fit more efficient and fast by the Gabor kernels reduction and the proposed feature-based weighted warping method. Based on our method, it not only obtains the better face alignment but also overcomes the active shape model (ASM) method which caused the failure for aligned target. Experimental results show that this approach can achieve in JAFFE face database with seven type facial expressions and Yale face database_B with varied illumination conditions.