发明名称 KEYPOINT IDENTIFICATION
摘要 A method for identifying keypoints in a digital image including a set of pixels. Each pixel has associated thereto a respective value of an image representative parameter. The method includes approximating a filtered image. The filtered image depends on a filtering parameter and includes for each pixel of the image a filtering function that depends on the filtering parameter to calculate a filtered value of the value of the representative parameter of the pixel. The approximating includes: a) generating a set of base filtered images; each base filtered image is the image filtered with a respective value of the filtering parameter; b) for each pixel of at least a subset of the set of pixels, approximating the filtering function by a respective approximation function based on the base filtered images; the approximation function is a function of the filtering parameter within a predefined range of the filtering parameter.
申请公布号 US2016155014(A1) 申请公布日期 2016.06.02
申请号 US201414906218 申请日期 2014.07.23
申请人 TELECOM ITALIA S.P.A. 发明人 BALESTRI Massimo;FRANCINI Gianluca;LEPSOY Skjalg
分类号 G06K9/46 主分类号 G06K9/46
代理机构 代理人
主权项 1. A method for identifying keypoints in a digital image comprising a set of pixels, each pixel having associated thereto a respective value of an image representative parameter, said method comprising: approximating a filtered image, said filtered image depending on a filtering parameter and comprising for each pixel of the image a filtering function that depends on the filtering parameter to calculate a filtered value of the value of the representative parameter of the pixel, said approximating comprising: a) generating a set of base filtered images, each base filtered image being the image filtered with a respective value of the filtering parameter; b) for each pixel of at least a subset of said set of pixels, approximating the filtering function by means of a respective approximation function based on the base filtered images, said approximation function being a function of the filtering parameter within a predefined range of the filtering parameter; for each pixel of said subset, identifying such pixel as a candidate keypoint if the approximation function has a local extreme which is also a global extreme with respect to the filtering parameter in a respective sub-range internal to said predefined range; for each pixel identified as a candidate keypoint: c) comparing the value assumed by the approximation function at the value of the filtering parameter corresponding to the global extreme of the pixel with the values assumed by the approximation functions of the adjacent pixels in the image at the values of the filtering parameters of the respective global extremes of such adjacent pixels, and d) selecting such pixel based on this comparison.
地址 Milano IT