发明名称 MULTIVIEW PRUNING OF FEATURE DATABASE FOR OBJECT RECOGNITION SYSTEM
摘要 A method of building a database for an object recognition system includes acquiring several multi-view images of a target object and then extracting a first set of features from the images. One of these extracted features is then selected and a second set of features is determined based on which of the first set of features include both, descriptors that match and keypoint locations that are proximate to the selected feature. If a repeatability of the selected feature is greater than a repeatability threshold and if a discriminability is greater than a discriminability threshold, then at least one derived feature is stored to the database, where the derived single feature is representative of the second set of features.
申请公布号 US2015095360(A1) 申请公布日期 2015.04.02
申请号 US201414492976 申请日期 2014.09.22
申请人 QUALCOMM Incorporated 发明人 VRCELJ Bojan;KRISHNAMOORTHI Raghuraman;PAN Qi;LEE Wonwoo;MAGGIO Emilio
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A computer-implemented method of building a database containing a plurality of features corresponding to a 3-dimensional (3D) target object, the method comprising: acquiring a plurality of images of the target object, wherein each of the plurality of images are acquired from a distinct and known viewpoint of the target object; extracting a first set of features from the plurality of images, wherein each extracted feature includes a descriptor and a corresponding keypoint location; selecting a feature from the first set of features; and then, (a) determining a second set of features corresponding to the selected feature, wherein the second set of features includes features of the first set that have both, a descriptor that matches a descriptor of the selected feature, and a keypoint location proximate to a keypoint location of the selected feature;(b) determining a repeatability of the selected feature;(c) determining a discriminability of the selected feature; and(d) storing at least one derived feature based, at least, on the repeatability of the selected feature, a repeatability threshold, the discriminability of the selected feature, and a discriminability threshold, wherein the at least one derived feature is representative of the second set of features.
地址 San Diego CA US