Finding multiple planes in an unorganized point cloud
I just started trying PCL to work with unorganized point clouds. I'd like to know how to efficiently compute multiple planes in a point cloud. Based on some of the examples, I have a test function that computes the co-efficients of the dominant plane in the 3D data and returns the inliers. I'd now like to run the plane segmentation on the outliers from the first run.