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復(fù)雜背景下人臉檢測的數(shù)學(xué)形態(tài)學(xué)運(yùn)算方法

游亞平 袁保宗

游亞平, 袁保宗. 復(fù)雜背景下人臉檢測的數(shù)學(xué)形態(tài)學(xué)運(yùn)算方法[J]. 電子與信息學(xué)報(bào), 2004, 26(12): 1863-1870.
引用本文: 游亞平, 袁保宗. 復(fù)雜背景下人臉檢測的數(shù)學(xué)形態(tài)學(xué)運(yùn)算方法[J]. 電子與信息學(xué)報(bào), 2004, 26(12): 1863-1870.
You Ya-ping, Yuan Bao-zong. Mathematical Morphology Appoach to Face Detection in Complex Background[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1863-1870.
Citation: You Ya-ping, Yuan Bao-zong. Mathematical Morphology Appoach to Face Detection in Complex Background[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1863-1870.

復(fù)雜背景下人臉檢測的數(shù)學(xué)形態(tài)學(xué)運(yùn)算方法

Mathematical Morphology Appoach to Face Detection in Complex Background

  • 摘要: 皮膚的顏色特性被廣泛地應(yīng)用于人臉檢測和跟蹤中,本文采用HSV空間與歸一化RGB空間相結(jié)合的膚色模型,提取原始圖像中的類膚色區(qū)域作為候選人臉目標(biāo);采用數(shù)學(xué)形態(tài)學(xué)算子,分別用來完成去除噪聲和干擾,分離侯選目標(biāo),提取眼睛嘴巴孔洞,以及標(biāo)示人臉輪廓等處理過程。大量實(shí)驗(yàn)表明,該方法能有效地剔除臂和手等非人臉膚色目標(biāo);能克服人臉遮擋,姿勢和方向變化,大小差異,光照變化等造成的困難;該方法的計(jì)算開銷較小,易于實(shí)現(xiàn),適合快速人臉檢測。
  • Tsapatsoulis N, Avrithis Y, Kollias S. Facial image indexing in multimedia databases. Pattern Analysis () Applications, 2001, 4(2/3): 234-241.[2]Chai D, Ngan K N. Face segmenttation using skin-color map in videophone applications[J].IEEE Transa. on Circuits and Systems for Video Technology.1999, 9(4):551-564[3]Chua Tat-Seng, Zhao Yunlong, Kankanhalli S. Detection of human faces in a compressed domain for video stratification. The Visual Computer, 2002, 18(2): 774-782.[4]Mao J, Yin B. A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template[J].Pattern Recognition.1999, 32(7):1237-1248[5]Edwards G J.[J].Taylor C J, Cootes T. Learning to identify and track faces in image sequences.Proc. Fifth IEEE Intl Conf. Computer Vision, Chicago, USA.1998,:-[6]Yang Ming-Hsuan, Krieman J, Narendra Ahuja. Detecting faces in images: A survey. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002, PAMI-24(1): 34-58.[7]Amit Y, Geman D, Jedynak B. Efficient focusing and face detection. Face recognition: From Theory to Applications, NATO ASI Series F, Berlin: Springer-Verlag, 1998, 163: 124-156.[8]Leung T K, Burl M C, Perona P. Propabilistic affine invariants for recognition. Proc. IEEE Conf.Computer Vision and Pattern Recognition, Chicago, USA, 1998: 678-684.[9]Dai Y, Nakano Y. Face-texture model based on SGLD and its applicaton in face detection in a color scene[J].Pattern Recognition.1996, 29(6):1007-1017[10]McKenna S, Raja Y, Gong S. Tracking color objects using adaptive mixture models. Image and Vision Computing, 1999, 17(3/4): 223-229.[11]McKenna S, Raja Y, Gong S. Object tracking using adaptive colour mixture models. In ACCV,HongKong, China, 1998, 1: 615-622.[12]Mensor B, Bruning M. Segmentation of Human Faces in Color Images[J].In Proc. Seventh IEEE Intl. Conf. on Image Processing and its Applications IPA99, Kobe, Japan.1999, 3:652-636[13]Sobottka K.[J].Pitas I. Face location and feature extraction based on shape and color information.IEEE Intl Conf. Image Processing, Lanssanne.1996,:-Yang J, Waibel A. A real-time face tracker. Third Workshop Applications of Computer Vision,Sarasota, FL, USA, 1996: 142-147.[14]Wang Y J, Yuan B Z. A novel approach for human faces detection from color images under complex background[J].Pattern Recognition.2001, 34(10):1983-1992[15]阮秋琦.數(shù)字圖像處理學(xué).北京:電子工業(yè)出版社,2001年1月第一版,第九章.[16]阿爾文.R.蒂利,著,朱濤,譯.人體工程學(xué)圖解.北京:中國建筑工業(yè)出版社,1998:30-25.
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  • 收稿日期:  2003-07-24
  • 修回日期:  2004-02-24
  • 刊出日期:  2004-12-19

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