Technical University of Munich

@article{wimmer_adaptive_2006,
 author = {M Wimmer and B Radig},
 title = {Adaptive Skin Color Classificator},
 journal = {{ICGST} International Journal on Graphics, Vision and Image Processing},
 year = {2006},
 volume = {Special Issue on Biometrics},
 abstract = {Skin color is an important feature of faces. Various applications
	benefit from robust skin color detection. Skin color may look quite
	different, depending on camera settings, illumination, shadows, people's
	tans, ethnic groups. That variation is a challenging aspect of skin
	color classification. In this paper, we present an approach that
	uses a high level vision module to detect an image specific skin
	color model. This model is representative for the context conditions
	within the image and is used to adapt dynamic skin color classifiers
	to it. This approach distinguishes skin color from very similar color
	like lip color or eyebrow color. Its high speed and accuracy makes
	it appropriate for real time applications such as face model fitting,
	gaze estimation, and recognition of facial expressions.},
}