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    • 9. 发明授权
    • Learning method of face classification apparatus, face classification method, apparatus and program
    • 面部分类装置的学习方法,面部分类方法,装置和程序
    • US07835549B2
    • 2010-11-16
    • US11368469
    • 2006-03-07
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • G06K9/00G06K9/62
    • G06K9/00248G06K9/6256
    • A plurality of different facial images is used to cause a face classification apparatus to learn a characteristic feature of a face by using a machine-learning method. Each of the facial images includes a face which has the same direction and the same angle of inclination as those of a face included in each of the other facial images and each of the facial images is limited to an image of a specific facial region. For example, the facial region is a predetermined region including only a specific facial part other than a region below an upper lip to avoid an influence of a change in facial expressions. Alternatively, if the apparatus is used to detect a frontal face and to perform refined detection processing on the extracted face candidate, a region including only an eye or eyes, a nose and an upper lip is used as the facial region.
    • 使用多种不同的面部图像来使面部分类装置通过使用机器学习方法来学习面部的特征。 每个面部图像包括具有与包括在每个其他面部图像中的面部相同的方向和相同的倾斜角度的面部,并且将每个面部图像限于特定面部区域的图像。 例如,面部区域是仅包括除了上唇下方的区域以外的特定面部部分的预定区域,以避免面部表情变化的影响。 或者,如果使用该装置检测正面,并对所提取的面部候选进行精细检测处理,则仅使用眼睛,眼睛,鼻子和上唇的区域用作面部区域。