First of all, I wish you a good 2017, and only luck and positive for this new year! ;)
My problem concern the normals calculation from a point Cloud.
I'm using :
pcl::NormalEstimationOMP<pcl::PointXYZ, pcl::Normal> neOMP(8);
pcl::search::KdTree<pcl::PointXYZ>::Ptr tree(new pcl::search::KdTree<pcl::PointXYZ>());
as used on the documentation.
I'm using it on a Pointcloud found by a RANSAC SampleConsensusModel (in order to make a plane PointCloud): pcl::PointCloud<pcl::PointXYZ>::Ptr finale(new pcl::PointCloud<pcl::PointXYZ>);
Can it be a problem with the algorithm.
Since I only have to find the normal of the plane created with RANSAC, I was going to implement an algorithm of plane-fitting. Do you know one that is good? PCA? But in what I know, Finding normal is based on PCA algorithm no? So if there is errors here, maybe another could be good?
I'm about to use what I found here since it seem to be working, and "fast" enough. Do you think it's a good idea?