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
    • 7. 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。
    • 9. 发明授权
    • Image processing method, image processing apparatus, and image processing program
    • 图像处理方法,图像处理装置和图像处理程序
    • US07668389B2
    • 2010-02-23
    • US11111808
    • 2005-04-22
    • Yoshiro KitamuraWataru Ito
    • Yoshiro KitamuraWataru Ito
    • G03B17/00
    • H04N5/23248H04N5/23254H04N5/23258H04N5/23264
    • High frequency components are efficiently extracted from blurred images, and blur correction is efficiently performed. A blur analyzing means judges whether an image is a blurred image. If the image is judged to be a blurred image, blur data Q, which includes a blur width, is generated and transmitted to a blur correcting means. The blur correcting means extracts high frequency components from the image if the blur width is less than a predetermined threshold value, and performs blur correction by adding the high frequency components to the image. Meanwhile, if the blur width is greater than or equal to the threshold value, a reducing means reduces the size of the image to obtain a reduced image. Then, the blur correcting means extracts high frequency components from the reduced image, and performs blur correction by emphasizing and adding the extracted high frequency components to the reduced image.
    • 从模糊图像中有效地提取高频分量,有效地进行模糊校正。 模糊分析装置判断图像是否是模糊图像。 如果图像被判断为模糊图像,则生成包括模糊宽度的模糊数据Q并将其发送到模糊校正装置。 如果模糊宽度小于预定阈值,则模糊校正装置从图像中提取高频分量,并通过将高频分量加到图像上来执行模糊校正。 同时,如果模糊宽度大于或等于阈值,则缩小装置减小图像的尺寸以获得缩小的图像。 然后,模糊校正装置从缩小图像中提取高频分量,并且通过将提取的高频分量强调并添加到缩小图像来执行模糊校正。