Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture model for face-color modeling and segmentation
Pattern Recognition Letters
Statistical color models with application to skin detection
International Journal of Computer Vision
Skin Color-Based Video Segmentation under Time-Varying Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skin-Color Detection Based on Adaptive Thresholds
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Fast and efficient algorithm for face detection in colour images
Machine Graphics & Vision International Journal
A survey of skin-color modeling and detection methods
Pattern Recognition
Naked image detection based on adaptive and extensible skin color model
Pattern Recognition
Dynamic Skin Detection in Color Images for Sign Language Recognition
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Energy-based blob analysis for improving precision of skin segmentation
Multimedia Tools and Applications
Skin detection using neighborhood information
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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In this paper a new method for skin regions detection and segmentation is proposed. To improve the conventional color-based skin models, skin probability maps are subject to texture analysis using discriminative statistical features. Although the texture was utilized for skin detection in some of the existing methods, the main contribution of the work reported here is that the probability maps rather than the original color images are processed. The method has been validated in a series of experiments using two data sets. The obtained results are reported in the paper, and they confirm that the method is competitive.