计算机工程与应用2016，Vol.52Issue(12)：153-157,5.DOI:10.3778/j.issn.1002-8331.1407-0506
利用Kinect深度信息的三维点云配准方法研究
Research of 3D point-cloud registration method based on depth informa-tion of Kinect
摘要
Abstract
Aiming at the problem of point cloud registration in 3D reconstruction, this paper presents an automatic regis-tration method based on the feature of point cloud. Firstly, it utilizes Microsoft Kinect sensor to capture depth images in several different views and the interest regions are extracted and converted to 3D point cloud. Secondly, point clouds are filtered and the fast point feature histograms are estimated, then the bidirectional fast approximate nearest neighbor algorithm and random sample consensus are employed to search the final corresponding points. Finally, after computing the initial transformation matric applying singular value decomposition, the iterative closest point algorithm is used to get refined result on the base of initial registration. Experiments show that this registration method can not only ensure the quality of point cloud registration, but reduce the computation complexity, and achieve higher maneuverability and better robustness.关键词
Kinect/三维点云/点云特征/点云配准Key words
Kinect/3D point cloud/feature of point cloud/point cloud registration分类
信息技术与安全科学引用本文复制引用
王欢,汪同庆,李阳..利用Kinect深度信息的三维点云配准方法研究[J].计算机工程与应用,2016,52(12):153-157,5.基金项目
中央高校基本科研基金资助项目（No.106112013CDJZR120014）。 （）
