TAXONOMY OF SKIN DETECTION MODELS BASED ON HUMAN SKIN-COLOR: A SURVEY

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Published: 2015-09-17

Page: 269-305


RICHA MISHRA

Department of Computer Science, Pondicherry University, Puducherry, India

RAVI SUBBAN *

Department of Computer Science, Pondicherry University, Puducherry, India

*Author to whom correspondence should be addressed.


Abstract

Skin detection based on the human skin-color furnishes computationally efficient information against geometric transformations. The computational speed is affected by changing lighting conditions, complex background, camera settings, ethnicity and physical appearances. Populous skin detection approaches have been oriented towards images captured under visual spectrum. This paper provides state-of-the-art skin detection approaches and classifies them based on their computational techniques. It describes color spaces, position and description of evolved techniques in the taxonomy, and analyses on the performance of methodologies under controlled and uncontrolled constraints.

Keywords: Color space, color constancy, face detection, skin-color classification, skin detection, illumination adaptation


How to Cite

MISHRA, R., & SUBBAN, R. (2015). TAXONOMY OF SKIN DETECTION MODELS BASED ON HUMAN SKIN-COLOR: A SURVEY. Asian Journal of Mathematics and Computer Research, 7(4), 269–305. Retrieved from https://ikprress.org/index.php/AJOMCOR/article/view/427

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