Face Contour Segmentation Based on Prior Information and Level Set Method
- Resource Type
- Article
Text
- Authors
- Ji Zhao; Huibin Wang; Wenge Huang
- Source
- International Journal of Signal Processing, Image Processing and Pattern Recognition, 07/30/2016, Vol. 9, Issue 7, p. 93-106
- Subject
- Face segmentation
Shape prior
Level set
Variance
Gradient
- Language
- 영어(ENG)
- ISSN
- 2005-4254
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.