Multiple face contour detection based on geometric active contours

Authors:
Fuzhen Huang;Jianbo Su
Affiliations:
Institute of Automation & Research Center of Intelligent Robotics, Shanghai Jiaotong University, Shanghai, China;Institute of Automation & Research Center of Intelligent Robotics, Shanghai Jiaotong University, Shanghai, China
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

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Abstract

In this paper, a novel approach based on a multiphase geometric active contour model is presented for multiple face contour detection in grayscale still images. The proposed method first adopts the multiphase Chan-Vese model for image segmentation. Based on The Four-Color Theorem, this model can use only two level set functions to represent any partition in the piecewise smooth case. Then the Hausdorff distance is used as a similarity between a general elliptical face model and the segmented closed curves. Based on the predefined threshold, the final face contours are achieved in this validation step. Experiments are performed on a large test set and show the efficiency of our method.