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    • 4. 发明授权
    • Flexible image comparison and face matching application
    • 灵活的图像比较和面部匹配应用
    • US08526684B2
    • 2013-09-03
    • US12637486
    • 2009-12-14
    • Amir AkbarzadehGang Hua
    • Amir AkbarzadehGang Hua
    • G06K9/00
    • G06K9/6212G06K9/00288
    • Two faces may be compared by calculating distances between different regions of the windows, and choosing one of the distances as the difference between the images. Two images are examined to detect the location of the face in the images. The faces may then be geometrically and photometrically rectified. A sliding window that is smaller than the whole face may be positioned at various locations over the images, and a descriptor is calculated for each window position. The descriptor for a window at one location in one image is compared with descriptors for windows in the neighborhood of that location in the other image. The lowest distance between window descriptors is chosen. The process is repeated for all window positions, resulting in a set of distances. The distances are sorted, and one of the distances is chosen to represent the difference between the two faces.
    • 可以通过计算窗口的不同区域之间的距离并选择其中一个距离作为图像之间的差异来比较两个面。 检查两个图像以检测图像中的脸部的位置。 然后可以几何和光学校正面。 小于整个脸部的滑动窗口可以位于图像上的各个位置,并且为每个窗口位置计算描述符。 将一个图像中一个位置的窗口的描述符与其他图像中该位置附近的窗口的描述符进行比较。 选择窗口描述符之间的最小距离。 对所有窗口位置重复该过程,产生一组距离。 距离被分类,并且选择一个距离来表示两个面之间的差异。
    • 8. 发明授权
    • Recognition of faces using prior behavior
    • 使用先前行为识别面部
    • US08644563B2
    • 2014-02-04
    • US12637494
    • 2009-12-14
    • Amir AkbarzadehGang Hua
    • Amir AkbarzadehGang Hua
    • G06K9/00
    • G06K9/00288G06K9/00677G06K9/6212
    • Face recognition may be performed using a combination of visual analysis and social context. In one example, a web site such as a social networking site or photo-sharing site allows users to upload photos, and allows faces that appear in the photo to be tagged with users' names. When user A uploads a new photo, two analyses may be performed. First, a face in the photo is compared with known faces of users to determine similarity. Second, it is determined which other users user A frequently uploads photos of. Two probability distributions are created. One distribution assigns high probabilities to users whose photos are similar to the new photo. The other assigns high probabilities to users who frequently appear in photos uploaded by user A. These probability distributions are combined, and the person in the photo is identified as being the person with the highest probability.
    • 可以使用视觉分析和社会语境的组合来执行面部识别。 在一个示例中,诸如社交网站或照片共享网站的网站允许用户上传照片,并且允许照片中出现的脸部被用户的姓名标记。 当用户A上传新照片时,可能会执行两次分析。 首先,将照片中的脸部与用户的已知脸部进行比较,以确定相似性。 其次,确定哪些其他用户A经常上传照片。 创建两个概率分布。 一个分配对于照片类似于新照片的用户分配高概率。 另一方则将频繁出现在用户A上传的照片中的用户分配给高概率。这些概率分布相结合,照片中的人被识别为具有最高概率的人。