Real-Time Skin Color Detection in Various Lighting Conditions
碩士 === 國立政治大學 === 資訊科學學系 === 95 === 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 ran...
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ndltd-TW-095NCCU53940312015-10-13T14:08:37Z http://ndltd.ncl.edu.tw/handle/05706992912563940769 Real-Time Skin Color Detection in Various Lighting Conditions 不同光源環境下的即時膚色辨識 Chi, Yu-Hao 紀煜豪 碩士 國立政治大學 資訊科學學系 95 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 efficacy and efficiency of the proposed methodology for vision-based human-computer interface such as hand and finger detection. Liao, Wen-Hung 廖文宏 2007 學位論文 ; thesis 82 zh-TW |
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碩士 === 國立政治大學 === 資訊科學學系 === 95 === 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 efficacy and efficiency of the proposed methodology for vision-based human-computer interface such as hand and finger detection.
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Liao, Wen-Hung |
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Liao, Wen-Hung Chi, Yu-Hao 紀煜豪 |
author |
Chi, Yu-Hao 紀煜豪 |
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Chi, Yu-Hao 紀煜豪 Real-Time Skin Color Detection in Various Lighting Conditions |
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Chi, Yu-Hao |
title |
Real-Time Skin Color Detection in Various Lighting Conditions |
title_short |
Real-Time Skin Color Detection in Various Lighting Conditions |
title_full |
Real-Time Skin Color Detection in Various Lighting Conditions |
title_fullStr |
Real-Time Skin Color Detection in Various Lighting Conditions |
title_full_unstemmed |
Real-Time Skin Color Detection in Various Lighting Conditions |
title_sort |
real-time skin color detection in various lighting conditions |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/05706992912563940769 |
work_keys_str_mv |
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