Hi,
I'm looking for a solution to fit a captured 2D-pointcloud into a given pattern of 2D-points. As result I expect the X/Y-translation and the rotation-angle. In our System we can use python 2.7 and openCV 2.4.9 or 3.0.0
I've no experience to work with openCV. But I've years experience with industrial visionsystems.
Typically ICP (Iterative Closest Point) algorithm is used to solve such a problem. As far as I know, there exist no ICP in OpenCV. If you can use Point Cloud Library in your project, you can easily adapt the code from the ICP tutorial on the PCL website (see here) to solve your problem.
Thank you for the good hint. This is exaclty the solution for my issue, but it's not easy for me to implement in our python enviroment. If someone has a python-compatible solution, I would be glad....
try estimaterigidtransform with appropriate fullAffine-flag
Asked: 2015-10-29 02:52:51 -0600
Seen: 1,542 times
Last updated: Nov 02 '15
