Iterative Closest Point,
presented
by M.T. Hajiaghayi
Advantages of ICP algorithms based on closest point
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Suited for parallel architecture
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It is stable and robust even for special cases
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Does not require any local feature extraction
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The method can be generalized to n-dimensional space
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Can be used in conjunction with other algorithms
or variants
Disadvantages of ICP algorithms based on closest
point
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Needs preprocessing steps (for triangulation, for
mesh simplification, for 3D-trees)
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Not so fast because of finding the closest point
pairs
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