Point Cloud Library, robust registration of two point clouds
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I need to find the transformation and rotation difference between two 3d point clouds. For this I am looking at PCL, as it seems ideal. On clean test data I have Iterative closest point working, but giving strange results(although I may have implemented it incorrectly...) I have pcl::estimateRigidTransformation working, and it seems better, although I assume will deal worse with noisy data. My question is: The two clouds will be noisy, and although they should contain the same points, there will be some discrepancies. What is the best way to