International Journal of Computer Vision
Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multi-view Method for Gait Recognition Using Static Body Parameters
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Does Colorspace Transformation Make Any Difference on Skin Detection?
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Silhouette-Based Human Identification from Body Shape and Gait
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, we present a new method to obtain the contours of color faces. First, we introduce a new nonlinear skin classifier to detect the human skin information in images. Then, a split machine (SM) places an adaptive grid over an image according to the low-level information detected in the representative regions. By filtering the redundant points extracted from the actively divided grid, we obtain a set of points that can coarsely construct the contour of the detailed skin region. Finally, we refine the contour by computing the local minimum energy of each point. Experimental results show that our proposed approach is capable of constructing the contours of color faces.