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Representative image selection for image management using face recognition

机译:使用人脸识别进行图像管理的代表性图像选择

摘要

A technique for selecting a representative image from a group of digital images includes extracting data representing an image of a face of a person from each image in the group using a face recognition algorithm, determining a score for each image based on one or more quality parameters that are satisfied for the respective image, and selecting the image having the highest score as the representative image for the group. The quality parameters may be based on any quantifiable characteristics of the data. Each of these quality parameters may be uniquely weighted, so as to define the relative importance of one parameter with respect to another. The score for determining the representative image of the group may be obtained by adding together the weights corresponding to each quality parameter that is satisfied for a given image. Once selected, the representative image may be displayed in a graphical user interface.
机译:一种用于从一组数字图像中选择代表性图像的技术,包括使用面部识别算法从该组中的每个图像中提取代表人脸图像的数据,基于一个或多个质量参数确定每个图像的得分对各个图像满意的图像,并选择得分最高的图像作为该组的代表图像。质量参数可以基于数据的任何可量化的特征。这些质量参数中的每一个可以被唯一地加权,以便定义一个参数相对于另一个参数的相对重要性。可以通过将与给定图像满足的每个质量参数相对应的权重加在一起来获得用于确定组的代表性图像的分数。一旦被选择,代表性图像可以被显示在图形用户界面中。

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