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    • 2. 发明申请
    • MANUALLY-ASSISTED AUTOMATED INDEXING OF IMAGES USING FACIAL RECOGNITION
    • 手动自动识别使用人脸识别的图像索引
    • WO2007011709A2
    • 2007-01-25
    • PCT/US2006/027323
    • 2006-07-12
    • YOUFINDER INTELLECTUAL PROPERTY LICENSING LIMITED LIABILITY COMPANYGOLDBERG, David, A.GRAY, RobertANGELL, JoeROSE, Jeffrey
    • GOLDBERG, David, A.GRAY, RobertANGELL, JoeROSE, Jeffrey
    • G06T7/20
    • G06K9/033G06K9/00295
    • The present method relates to the manual assistance for the automated indexing of a collection of images using facial recognition. In a first automated indexing step, automated indexing of faces within a collection of images is performed, creating sets of faces each of which comprises faces that are determined by the automated process to be representative of the same person. In a second splitting step, sets are displayed to an operator, who determines whether there are false-positive associations within a set. If false-positive associations are found, the faces representing different people are manually split into different sets. In this way, there will be no false-positive associations within the collection of images. In a third merging step, sets that have some degree of similarity are presented to the operator, who determines whether the two sets comprise representations of the same person. If so, the two sets are manually merged, thereby eliminating false-negative errors. In this way, all of the faces in the image collection can be completely and accurately indexed.
    • 本方法涉及使用面部识别的图像集合的自动索引的手动辅助。 在第一自动索引步骤中,执行图像集合内的面部的自动索引,创建一组面部,每个面部包括由自动化过程确定为代表相同人物的面部。 在第二分割步骤中,集合被显示给运算符,运算符确定集合内是否存在假阳性关联。 如果发现假阳性关联,则表示不同人员的面部手动分割成不同的集合。 这样,图像集合中就不会有虚假的关联。 在第三合并步骤中,将具有一定程度的相似性的集合呈现给运营商,运营商确定两组是否包括同一人的表示。 如果是这样,这两套手动合并,从而消除假阴性错误。 以这种方式,图像集合中的所有面都可以被完全和准确的编入索引。