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题名:	Estimation of Skin Color Range Using Achromatic Features
作者:	Liao, Wen-hung;Chi, Yu-hao 廖文宏
贡献者:	資科系
日期:	2008
上传时间:	2015-06-17 16:38:14 (UTC+8)
摘要:	Robust detection of skin color is a difficult task since color information changes under different lighting conditions. Previous research indicated that human skin color is restricted to a small range of values in certain color coordinate systems. However, the ranges tend to shift with varying illumination according to our experiments. It is therefore unattainable to derive a universal standard for skin color detection and segmentation for general scenes. To address this issue, we propose to use achromatic features to identify the proper ranges of skin color in an image. Specifically, we utilize the result of face detection, which is independent of chromatic properties, to guide the process of skin color range selection. Experimental results have validated the efficiency of the proposed methodology for vision-based human-computer interface (HCI) such as hand and finger detection.
關聯:	Intelligent Systems Design and Applications - ISDA , pp. 493-497
数据类型:	conference
DOI 連結:	http://dx.doi.org/10.1109/ISDA.2008.208
DOI:	10.1109/ISDA.2008.208
显示于类别:	[資訊科學系] 會議論文

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