会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 6. 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。
    • 7. 发明申请
    • Method, apparatus, and program for discriminating faces
    • 用于区分面部的方法,装置和程序
    • US20060222217A1
    • 2006-10-05
    • US11393708
    • 2006-03-31
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • G06K9/00G06K9/62
    • G06K9/6256G06K9/00248
    • A face discrimnating process judges whether a discrimination target image is an image of a face, based on characteristic amounts of the discrimination target image. A first and a second brightness gradation converting process are administered as preliminary processes. The first brightness gradation converting process is administered on regions in which the degrees of variance of pixel values are greater than or equal to a first predetermined level. The second brightness gradation converting process is administered on regions in which the degrees of variance are less than the first predetermined level. The first brightness gradation converting process causes the degree of variance to approach a second predetermined level. The second brightness gradation converting process suppresses the degree of variance to be less than the second predetermined level.
    • 面部鉴别处理基于鉴别目标图像的特征量判断辨别目标图像是否是脸部的图像。 第一和第二亮度灰度转换处理作为初步处理。 在像素值的方差大于或等于第一预定水平的区域上施加第一亮度灰度转换处理。 在方差小于第一预定水平的区域上施加第二亮度灰度转换处理。 第一亮度灰度转换处理使得方差程度接近第二预定水平。 第二亮度灰度转换处理将方差程度抑制成小于第二预定水平。
    • 9. 发明申请
    • 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
    • US20060215905A1
    • 2006-09-28
    • US11368469
    • 2006-03-07
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • G06K9/62G06K9/00
    • 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。