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Global L0 algorithm for regularity-constrained plane fitting
The figures in your paper show awesome results. However, I find your code can get planes from pointcloud but how to reconstruct using this information? Would you please kindly let me know how to reconstruct these plane models (software and strategies)? This will probably save a lot of my life searching and learning!
Thanks!
Can this algorithm be used for plane fitting of small DSM data?
The program works well in some situation. But when I attempt to detect planes in some bigger pointclouds, the program seems to be stuck in a endless loop and I can't have a result. Does the algorithm always converge?
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