A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Machine Learning
Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical color models with application to skin detection
International Journal of Computer Vision
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
A Comparative Assessment of Three Approaches to Pixel-Level Human Skin-Detection
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Fast and efficient algorithm for face detection in colour images
Machine Graphics & Vision International Journal
Texture analysis for skin probability maps refinement
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Skin detection using color and distance transform
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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Skin detection is the first step of processing in many approaches to face and gesture recognition. This paper presents research aimed at detecting skin in digital images for Polish Sign Language recognition. There are many methods for detecting human skin, including parametric skin models defined in various color spaces and statistical approaches which require appropriate training. The presented method is based on statistical model updated dynamically for every image in which human faces can be detected. The detection is performed in luminance channel based on geometric properties of human faces. The experiments proved that effectiveness of this approach is higher than application of general skin detection models.