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    Abstract:

    In this paper, a face detection algorithm based on the matching of multiple rela ted templates is presented. The templates are a series of related types: eyes-i n-whole and face itself, which are produced by affine transforms varying in str etch and pose from an average frontal face. The eyes-in-whole templates are us ed as the first search step for face candidates and then the face templates are matched. Finally some heuristic rules are used to verify face detection results. Experimental results obtained from images containing frontal and in-plane rota ted faces demonstrate the feasibility of this approach.

    Reference
    [1] Dai Y., Nakano, Y. Face-Texture model based on SGLD and its application in face detection in a COLOR scene. Pattern Recognition, 1996,29(6): 1007~1016.
    [2] Maio, D., Maltoni, D. Fast face detection in complex backgrounds. I n: Wechsler, H., et al. eds. Face Recognition from Theory to Applications. N ew York: Springer-Verlag, 1998. 568~577.
    [3] Lu Cun-yu, Zhang Chang-shui, Wen Fang, et al. Regional featur e based fast human face detection. Journal of Tsinghua University (Science and T echnology), 1999,39(1):101~105 (in Chinese).卢春雨,张长水,闻芳,等.基于区域特征的快速人脸检测算法.清华大学 学报(自然科学版),1999,39(1):101~105.
    [4] Moghaddam, B., Pentland, A. Probabilistic visual learning for objec t representation. IEEE Transactions on Pattern Analysis and Machine Intelligence , 1997,19(7):696~710.
    [5] Rowley, H.A., Baluja, S., Kanade, T. Neural network-based face det ection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998,20( 1):23~38.
    [6] Viennet, E., Soulie, F.F. Connectionists methods for human face pro cessing. In: Wechsler, H., et al. eds. Face Recognition from Theory to Appli cations. New York: Springer-Verlag, 1998. 124~156.
    [7] Osuna, E., Freund, R., Girosi, F. Training support vector machines: an application to face detection. In: Procdeeings of the CVPR. Puerto Rico, 199 7. 130~136. http://iel.ihs.com/.
    [8] Schneiderman, H., Kanade, T. Probabilistic modeling of local appear ance and spatial relationships for object. In: Procdeeings of the CVPR. 1998. 45 ~51. http://iel.ihs.com/
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梁路宏,艾海舟,何克忠,张钹.基于多关联模板匹配的人脸检测.软件学报,2001,12(1):94-102

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History
  • Received:July 14,1999
  • Revised:September 27,1999
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