| 摘要 |
<P>PROBLEM TO BE SOLVED: To establish a means for quickly and highly accurately identifying a face pattern of a person and an animal from a picture image. <P>SOLUTION: An image processor is provided with a plurality of partial transformation detecting parts 26 which are arranged parallel to each other. The partial transformation detecting parts 26, as a whole, detect transformation related to the total degrees of freedom necessary for normalization and each of the partial transformation detecting parts 26 detects transformation having partial degrees of freedom with respect to rough visual data, applies nonlinear transformation to rough visual data corresponding to image data to be normalized and projects the transformed rough visual data to a prestretched partial space indicative of characteristics of a learning sample to thereby calculate the magnitude of transformation necessary for normalization and an estimated error involved in the transformation. A transformation executing part 44 executes transformation corresponding to the partial transformation detecting part 26 which provides the smallest estimated error among all of the partial transformation detecting parts 26. <P>COPYRIGHT: (C)2004,JPO |
