A novel skin detection method based on a dynamic generation of the skin cluster range in the YCbCr color space by taking into account the lighting conditions. The method is based both on the identification of skin color clusters in the YCb and YCr subspaces and on the definition of correlation rules between the skin color clusters; it is efficient in terms of computational effort and is robust against severe variation in illumination conditions.

Adaptive rule-based skin detector

Nadia Brancati;Giuseppe De Pietro;Maria Frucci;Luigi Gallo
2016

Abstract

A novel skin detection method based on a dynamic generation of the skin cluster range in the YCbCr color space by taking into account the lighting conditions. The method is based both on the identification of skin color clusters in the YCb and YCr subspaces and on the definition of correlation rules between the skin color clusters; it is efficient in terms of computational effort and is robust against severe variation in illumination conditions.
2016
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
skin detection
lighting conditions
YCbCr
correlation rules
skin color cluster
rule-based
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/336552
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