Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skin Color Detection Using Multiple Cues
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Faces and Facial Features Detection in Color Images
GMAI '06 Proceedings of the conference on Geometric Modeling and Imaging: New Trends
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
IEEE Transactions on Consumer Electronics
A highly efficient system for automatic face region detection in MPEG video
IEEE Transactions on Circuits and Systems for Video Technology
Automatic measuring system for railroad wheels
International Journal of Computer Applications in Technology
Adaptive method for improvement of human skin detection in colour images
International Journal of Computer Applications in Technology
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Skin colour is an important feature for face detection and recognition in colour images. To obtain the possible face regions in colour images, skin colour models are always constructed by statistical analysis. Owing to low accuracy of the static models, researchers have discussed several dynamic models to correct input images. Unfortunately, it is possible that some objects whose colour is the same as the definition exist, and the previous methods cannot separate real skin item from skin colour background. Thus, this paper presents a honeycomb model to recognise the real human skin colour. The performance of the new skin colour detector technique has been tested under complex lighting source and background environments. It is observed that the proposed model can effectively improve the segmentation results. Especially, the honeycomb model is capable of separating the human face which connected with other face or skin colour background.