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cloudcompare/normals_hough
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Language ·
C++
License ·
MIT
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I have a 3D point cloud file from a laser scan. How do I use normals_hough to estimate surface normals for each point and write the results to an output file?
Help me integrate the normals_hough header-only C++ library into my existing point cloud processing project. What dependencies do I need to install besides Eigen and nanoflann?
I want to use normals_hough on a messy, unstructured point cloud from a LiDAR scan. How does the Hough transform combined with deep learning make it robust to noise, and what input format does it expect?
My project currently uses CGAL and PCL for point cloud processing. How can I migrate to using the newer normals_hough implementation that relies on Eigen and nanoflann instead?
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