Iterative Closest Point presented by M.T. Hajiaghayi

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Normal-space sampling

• Select samples such that normals distributed as uniformly as possible
• Bucket the points according to the position of the normals in angular space, then sample uniformly across the buckets

• It is more robust  for mostly-smooth areas with sparse features such as incised planes


 

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