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多视角人脸识别的研究现状及发展前景探析 被引量:2

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摘要 多视角人脸识别是人脸识别的一个子课题。由于受到光照、表情、遮挡等条件的影响以及人脸角度的变化,使得人脸检测难度大,精度低,成为研究的难点。本文主要多视人脸识的应用领域、研究现状及未来的发展前景进行了简要的论述。
作者 王勇
出处 《信息与电脑(理论版)》 2010年第10期36-36,38,共2页 China Computer & Communication
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  • 1B. Moghaddam, A. Pentlan. Beyond linear eigenspaces: Bayesian matching for face recognition. In: Face Recognition: From Theory to Application. New York: Springer-Verlag 1998. 230~243.
  • 2H. A. Rowley. Neural network-based human face detection:[Ph. D. dissertation]. Pittsburgh, USA: Carnegie Mellon University, 1999.
  • 3R. Feraud, O.J. Bernier, Jean-Emmanuel Viallet, et al. A Fast and accurate face detector based on neural networks. IEEE Trans.Pattern Analysis and Machine Intelligence, 2001, 23(1): 42~53.
  • 4H. Schneiderman, T. Kanade. A statistical method for 3D object detection applied to faces and cars. IEEE Conf. Computer Vision and Pattern Recognition, Hilton Head Island, South Carolina,2000.
  • 5E. Osuna, R. Freund, F. Girosi. Training support vector machines: An application to face detection. IEEE Conf. Computer Vision and Pattern Recognition, Puerto Rico, 1997.
  • 6V.P. Kumar, T. Poggio. Learning-based approach to real time tracking and analysis of faces. http: ∥ cbcl. mit. edu/cbcl/publications/ai- publications, 1999.
  • 7P. Viola, M. Jones. Rapid object detection using a boosted cascade of simple features. IEEE Conf. Computer Vision and Pattern Recognition, Kauai, Hawaii, USA, 2001.
  • 8Y. Freund, R. E. Schapire. Experiments with a new boosting algorithm. In: Proc. the 13th Conf. Machine Learning. San Francisco: Morgan Kaufmann, 1996. 148~156.
  • 9R.E. Schapire, Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 1999, 37 (3) .297~336.
  • 10Y. Li, S. Gong, H. Liddell. Support vector regression and classification based multi-view face detection and recognition.IEEE Conf. Automatic Face and Gesture Recognition, Grenoble,France, 2000.

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