期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：7
页码：93-106
DOI：10.14257/ijsip.2016.9.7.09
出版社：SERSC
摘要：The prior knowledge of face scale and shape are introduced into active contour model for face contour segmentation. Based on the variance of each column about image and the gradient of variance, the face outline size and central coordinates are obtained. The level set functions of the collected shapes are used as training data, which are projected onto a low dimension subspace. The attribute reduction of training set by PCA method is approximated Gaussian distribution. A constructed shape prior model with facial personality traits is incorporated into variational level set model based on boundary and region to constrain the contour evolution process, and then model can be accurately evolved into the face boundary. Experimental results validate the efficiency of this method.
