Active contour model for extracting human faces

In this paper, we propose a facial contour extraction model. The influence of environmental changes on the model is small, and it is based on an active contour model (ACM). Our method has three characteristics: global shape constraint of axis-symmetry, dual-scale filtering and iterative initialization. We apply the method to real human faces of more than 60 people with our face recognition system for evaluating effectiveness.

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