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    • 86. 发明公开
    • METHOD AND SYSTEM FOR COMPARING IMAGES
    • VERFAHREN UND SYSTEM ZUM VERGLEICHEN VON BILDERN
    • EP2801054A1
    • 2014-11-12
    • EP12708685.8
    • 2012-01-02
    • Telecom Italia S.p.A.
    • FRANCINI, GianlucaLEPSOY, Skjalg
    • G06K9/62
    • G06K9/6211G06K9/6212
    • A method for comparing a first image with a second image, comprises: identifying first keypoints in the first image and second keypoints in the second image; forming matches between first and second keypoints by associating each first keypoint with a corresponding second keypoint; calculating a plurality of first distance ratios, each first distance ratio being based on the ratio of the distance between a pair of said first keypoints and the distance between a corresponding pair of said second keypoints matching the pair of first keypoints; arranging a distribution of values of said calculated plurality of first distance ratios in a histogram having a plurality of ordered bins each corresponding to a respective interval of values of the first distance ratios, the histogram enumerating for each bin a corresponding number of first distance ratios of the distribution having values comprised within the respective interval; generating an outlier density function expressing a statistical distribution of a plurality of second distance ratios corresponding to a random selection of keypoints pairs in the first and second images, said plurality of second distance ratios being based on the ratio of the distance between pairs of first keypoints in the first image and the distance between corresponding pairs of randomly selected second keypoints in the second image; discretizing said outlier density function by generating for each of said bin a corresponding outlier probability density value. The method further comprises: determining a number of correct keypoint matches, each formed by a first and a second keypoints corresponding to a same point of a same object depicted in the first and second images, said determining a number of correct keypoint matches including: determining a matrix, each element of said matrix corresponding to a respective pair of keypoint matches and having a value corresponding to the difference between the value of said histogram at the bin including the distance ratio of the respective pair of keypoint matches and the outlier probability density value corresponding to said bin, said outlier probability density value being weighted by means of a parameter (β); determining a value of the parameter (β) such that the dominant eigenvector of the matrix is equal to a vector (r) having elements of a first value if the pair of keypoint match is a correct keypoint match an of a second value if the pair of keypoint match is an incorrect keypoint match; determining the number of correct keypoint matches as an expression of the dominant eigenvalue associated to said dominant eigenvector, wherein for comparing said first image with said second image the determined number of correct keypoint matches is exploited.
    • 一种比较第一和第二图像的方法,包括:识别和匹配第一和第二图像中的第一和第二关键点; 在直方图中布置计算出的多个第一距离比值的值的分布; 确定正确的关键点匹配的数量,包括:确定矩阵,与相应的关键点匹配对应的每个矩阵元素与对应于包括相应的关键点匹配对的距离比的直方图的值之间的差值相对应的值,以及 由参数加权的离群概率密度值; 确定所述参数值,使得如果所述一对关键点匹配是正确的并且如果所述一对关键点匹配不正确,则所述矩阵主导特征向量等于具有第一值的向量; 基于与主要特征向量相关联的主要特征值来确定正确关键点匹配的数量。