Projective Distribution Entropy and Point Clouds Mosaic Algorithm

摘要：

　　The multi-view point clouds mosaic is an important technology in ladar data preprocessing,and it is also an open problem in 3D information processing.In the paper,a projective distribution entropy based point clouds mosaic algorithm is proposed.First,a unique coordinate system is used to estimate the space transformation between the multi-view point clouds,and to perform the coarse mosaic.Second,the Iterative Closest Point (ICP) method is applied for the fine mosaic.In order to enhance the robustness of the ICP method,the deterministic annealing algorithm is used.Experiments on complex point clouds demonstrated that the algorithm was reliable and effective.

关键词： laser optics 3D point cloud point cloud scenes mosaic projective distribution entropy annealing ICP

作者: Lu Min Tan Zhiguo Guo Yulan Zuo Chao Yu Huiying

作者单位: ATR Key Laboratory, School of Electronic Science and Engineering,National University of Defense Technology,Changsha, China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）