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A Robust Skin Color Based Face Detection Algorithm

並列摘要


In this paper, a detailed experimental study of face detection algorithms based on ”Skin Color” has been made. Three color spaces, RGB, YCbCr and HSI are of main concern. We have compared the algorithms based on these color spaces and have combined them to get a new skin color based face detection algorithm which gives higher accuracy. Experimental results show that the proposed algorithm is good enough to localize a human face in an image with an accuracy of 95.18%.

被引用紀錄


Chang, K. Y. (2012). 顯著性導向的物件切割,偵測與辨識 [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2012.00507
Chang, Y. C. (2011). 自動化類HTTP魁儡網路特徵產生系統 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2011.00527
劉恩榜(2011)。Android上的殭屍網路攻擊偵測〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2011.00922
李政烘(2012)。陽極螢光粉體表面處理對平面電子發射光源影響之研究〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2012.00041
Lee, C. C. (2011). 實現即時手勢辨識應用於互動式衛浴鏡面顯示系統 [master's thesis, National Taipei University of Technology]. Airiti Library. https://doi.org/10.6841/NTUT.2011.00377

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