发明名称 SYSTEM AND METHOD OF DETECTING OBJECTS IN SCENE POINT CLOUD
摘要 A system and method of detecting one or more objects in a three-dimensional point cloud scene are provided. The method includes receiving a three-dimensional point cloud scene, the three-dimensional point cloud scene comprising a plurality of points; classifying at least a portion of the plurality of points in the three-dimensional point cloud into two or more categories by applying a classifying-oriented three-dimensional local descriptor and learning-based classifier; extracting from the three-dimensional point cloud scene one or more clusters of points utilizing the two or more categories by applying at least one of segmenting and clustering; and matching the extracted clusters with objects within a library by applying a matching-oriented three-dimensional local descriptor.
申请公布号 US2015003723(A1) 申请公布日期 2015.01.01
申请号 US201313929280 申请日期 2013.06.27
申请人 Chevron U.S.A. Inc. ;University of Southern California 发明人 HUANG Jing;YOU Suya;ANVAR Amir;FISHER Christopher Lee
分类号 G06K9/62;G06T7/00 主分类号 G06K9/62
代理机构 代理人
主权项 1. A method of detecting one or more objects in a three-dimensional point cloud scene, the method being implemented by a computer system that includes one or more processors configured to execute computer modules, the method comprising: receiving, by one or more processors, a three-dimensional point cloud scene, the three-dimensional point cloud scene comprising a plurality of points; classifying, by the one or more processors, at least a portion of the plurality of points in the three-dimensional point cloud into two or more categories by applying a classifying-oriented three-dimensional local descriptor and learning-based classifier; extracting, by the one or more processors, from the three-dimensional point cloud scene one or more clusters of points utilizing the two or more categories by applying at least one of segmenting and clustering; and matching, by the one or more processors, the extracted clusters with objects within a library by applying a matching-oriented three-dimensional local descriptor.
地址 San Ramon CA US