Finding faces in photographs
Finding faces in photographs
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寻找照片中的面孔
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
S. Chaudhuri
中科院分区：
文献类型：
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作者：
A. Rajagopalan;K. S. Kumar;J. Karlekar;R. Manivasakan;M. Patil;U. Desai;P. G. Poonacha;S. Chaudhuri
提出了两种新的人脸识别方法。第一种方案近似于面和类面流形的高阶统计量的未知分布。提出了一种基于hos的数据聚类算法。在第二种方案中，使用隐马尔可夫模型（HMM）学习人脸到非人脸和非人脸到人脸的转换。根据给定的图像估计HMM参数，并通过检测HMM的最优状态序列来定位人脸。实验结果表明了两种方案的性能。
Two new schemes are presented for finding human faces in a photograph. The first scheme approximates the unknown distributions of the face and the face-like manifolds wing higher order statistics (HOS). An HOS-based data clustering algorithm is also proposed. In the second scheme, the face to non-face and non-face to face transitions are learnt using a hidden Markov model (HMM). The HMM parameters are estimated corresponding to a given photograph and the faces are located by examining the optimal state sequence of the HMM. Experimental results are presented on the performance of both the schemes.