An Algorithm for Facial Features Extraction in Complex Background Image
Xiuchun Xiao, Beiji Zou · Zhanjiang Haiyang Daxue xuebao · 2005
Facial features xetraction have become a kdy in the fislds such as face recognition. Active contour model (usually called as snakes method) has been widely used in the technology of image segmentation, feature extraction et al. In this paper, we improved the Snakes method mainly in two aspects. Firstly, for a better precision, we reconstructed the image energy item in the Snakes' energy function according to the complexion characteristics of human face. Secondly, a new energy item, the shape restriction energy item, is added to the Snakes function to restrict the shape of Snakes during the Snakes' iteration computation, to prevent the Snakes curve from converging mistakenly.Finally,to verify the validity of our improvements,we developed some programs based on our algorithm. Results from our experiments show that the Snakes curve produced by our improved Snakes method can fit the shapes of the facial features better and more quickly.