This paper presents an efficient method for human skin color detection with a mobile platform. The proposed method is based on modeling the skin distribution in a log-chromaticity color space which shows good invariance properties to changing illumination. The method is easy to implement and can cope with the requirements of real-world tasks such as illumination variations, shadows and moving camera. Extensive experiments show the good performance of the proposed method and its robustness against abrupt changes of illumination and shadows. © 2011 Springer-Verlag.
CITATION STYLE
Khanal, B., & Sidibé, D. (2011). Efficient skin detection under severe illumination changes and shadows. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7102 LNAI, pp. 609–618). https://doi.org/10.1007/978-3-642-25489-5_59
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