I have one point cloud that describe an object (let's say, a blob of clay). I have another point cloud that describes the same object, but a portion of the object has changed (i.e, let's say that someone ripped off a small piece of clay from the blob).
I'm trying to figure out how to register the two point clouds, so that I can figure which portions of the 1st object are still intact, and which are missing.
I'm very new to registration techniques, so any ideas on how to approach this problem would be appreciated.
This 1990's algorithm, called iterative closest point, is a good start:
It has been cited quite frequently since then (cf. Google Scholar).