Useful Context: You've scanned a room or object and now you have lots of discrete scans you want to fit together. Either one has to swap the definition of a_n and b_n or one transposes ...
Kinect Icp Point Cloud Registration - General Background Context
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General Background Context
Given relatively small initial misalignments, the iterative closest point method can fuse together multiple misaligned Either one has to swap the definition of a_n and b_n or one transposes ... You've scanned a room or object and now you have lots of discrete scans you want to fit together.
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- Given relatively small initial misalignments, the iterative closest point method can fuse together multiple misaligned
- You've scanned a room or object and now you have lots of discrete scans you want to fit together.
- Either one has to swap the definition of a_n and b_n or one transposes ...
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