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Volume 26 Issue 12
Dec.  2004
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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.

Mathematical Morphology Appoach to Face Detection in Complex Background

  • Received Date: 2003-07-24
  • Rev Recd Date: 2004-02-24
  • Publish Date: 2004-12-19
  • Skin color character is widely used for face detection and face tracking. This paper construct a mixed model in both normalized RGB and HSV color space, which can be used to acquire possible skin regions in original image. It designs a sequential flexible morphology operators which can respectively eliminate noises and disturbances, separate face candidates, acquire eye and mouth hole, and gain contours of faces. The experimental results show that the proposed approach can not only effectively eliminate human hands and arms non-face objects in image, but also smooth away difficulties of face occlusion, pose and orientation, size difference and light variety. Furthermore, this approach is easy to implement, and its computational spending is relatively smaller. So it is suitable to fast face detection.
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  • 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.数字图像处理学.北京:电子工业出版社,2001年1月第一版,第九章.[16]阿尔文.R.蒂利,著,朱涛,译.人体工程学图解.北京:中国建筑工业出版社,1998:30-25.
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