Face Alignment Using Statistical Models and Wavelet Features

Active Shape Model (ASM) is a powerful statistical tool for face alignment by shape. However, it can suffer from changes in illumination and facial expression changes, and local minima in optimization. In this paper, we present a method, W-ASM, in which Gabor wavelet features are used for modeling local image structure. The magnitude and phase of Gabor features contain rich information about the local structural features of face images to be aligned, and provide accurate guidance for search. To a large extent, this repairs defects in gray scale based search. An E-M algorithm is used to model the Gabor feature distribution, and a coarse-to-fine grained search is used to position local features in the image. Experimental results demonstrate the ability of WASM to accurately align and locate facial features.

• Type: Conference
• Year: 2003
• Where: CVPR
• Authors: Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schuurmans
• Keywords: Computer Vision, CVPR 2003, Facial Expression Changes, Gabor Feature Distribution, Gabor Features, Gabor Wavelet Features, Local Structural Features