| 摘要 |
<p>A subset determining section selects a predetermined number of feature values used for separating subject image samples and non-subject image samples in order of degree of separation of the samples, the subject image sample most separated from the non-subject image samples as the most-separated sample with respect to the selected feature values, extracts a subset including the selected most-separated sample from the subject image samples, and derives a discriminator corresponding to the subset by learning by the LDA array method. A leaf node determining section determines a subset by expanding the subset by using the discriminator, removes the determined subset from the subject image samples, and determines a combination of the subset determined by repeating the feature value selection, the most-separated sample selection, and the subset determination and a discriminator corresponding to the subset to serve as a leaf node. A face image identifying device is constructed to realize the above constitution.</p> |
