| 摘要 |
<P>PROBLEM TO BE SOLVED: To precisely accurately recognize a face in a real time even in a reduced information amount. <P>SOLUTION: A face recognizer 1001 is constituted of an image input part 1002, a face detecting part 1003 for detecting a face image from an image, a face feature detecting part 1004 for detecting face feature information from the face image, a face recognizing part 1005 for recognizing the face by Gaussian-distribution-approximating a distribution of personal face data comprising face image information and the face feature information, and a recognition result part 1006 for outputting a result in the face recognizing part 1005. The face recognizer 1001 has a common covariance matrix found by assuming that a covariance matrix of the distribution of the personal face data is common to all the personal faces, a registered average face-image-vector found by averaging the plurality of face images in the same individual person, and information of the sheet number about the learnt face images, and the face recognizing part 1005 calculates a probability density distribution based on the informations hereinbefore to recognize the face. <P>COPYRIGHT: (C)2003,JPO |
