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    • 1. 发明申请
    • ULTRA-LOW DIMENSIONAL REPRESENTATION FOR FACE RECOGNITION UNDER VARYING EXPRESSIONS
    • 用于在不断变化的表达下进行脸部识别的超低维度表示
    • WO2010144259A1
    • 2010-12-16
    • PCT/US2010/036206
    • 2010-05-26
    • ARIZONA BOARD OF REGENTS ACTING FOR AND ON BEHALF OF ARIZONA STATE UNIVERSITYNAGESH, PradeepLI, Baoxin
    • NAGESH, PradeepLI, Baoxin
    • G06K9/00
    • G06K9/00288G06K9/00275G06K9/00308G06K9/624
    • A method, apparatus and computer program product are provided for identifying an unknown subject using face recognition. In particular, upon receiving a plurality of images depicting a subject, the method may include deriving and storing a common component image and a gross innovation component image associated with the subject, wherein the subject can later be identified in a new image using these two stored images. The common component image may capture features that are common to all of the received images depicting the subject, whereas the gross innovation component image may capture a combination of the features that are unique to each of the received images. The method may further include deriving and storing a low-rank data matrix associated with the received images, wherein the low-rank data matrix may capture any illumination differences and/or occlusions associated with the received images.
    • 提供了一种用于使用人脸识别识别未知对象的方法,装置和计算机程序产品。 特别地,在接收到描绘对象的多个图像时,该方法可以包括导出和存储与对象相关联的公共分量图像和总体创新分量图像,其中随后可以使用这两个存储的新图像在新图像中识别对象 图片。 公共分量图像可以捕获描述主题的所有接收到的图像共有的特征,而总体创新分量图像可以捕获对每个接收到的图像是唯一的特征的组合。 该方法还可以包括导出和存储与接收到的图像相关联的低秩数据矩阵,其中低等级数据矩阵可以捕获与接收到的图像相关联的任何照明差异和/或遮挡。