发明名称 SYSTEM AND METHOD FOR VISUAL RECOGNITION
摘要 A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons. One of the unique properties of these icons is their stability over scale and angle. Thus, this invention allows the recognition of an image(s) or object(s) from large number of trained images or objects very quickly.
申请公布号 US2016335522(A9) 申请公布日期 2016.11.17
申请号 US201414298258 申请日期 2014.06.06
申请人 Recognition Robotics 发明人 Melikian Simon
分类号 G06K9/62;G06K9/52 主分类号 G06K9/62
代理机构 代理人
主权项 1. A method for matching a learned object with a target object, the method comprising: extracting unique points from the target object, wherein the unique points are generated from extremum information obtained from the target image by cross-correlating at least one structure across the target image; extracting an icon from the target image corresponding to each of the unique points; normalizing the extracted icon; and determining if the extracted icon from the target images matches a learned object.
地址 Westlake OH US
您可能感兴趣的专利