Abstract
We consider the problem of minimizing the RMS distance (sum of squared distances between pairs of points) under translation between two point sets A and B, in the plane, with m= | B| ≪ n= | A| , in the partial-matching setup, in which each point in B is matched to a distinct point in A. Although the problem is not known to be polynomial, we establish several structural properties of the underlying subdivision DB , A of the plane and derive improved bounds on its complexity. Specifically, we show that this complexity is O(n2m3.5(eln m+ e) m) , so it is only quadratic in |A|. These results lead to the best known algorithm for finding a translation for which the partial-matching RMS distance between the point sets is minimized. In addition, we show how to compute a local minimum of the partial-matching RMS distance under translation, in polynomial time.
Original language | English |
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Pages (from-to) | 2400-2421 |
Number of pages | 22 |
Journal | Algorithmica |
Volume | 80 |
Issue number | 8 |
DOIs | |
State | Published - 1 Aug 2018 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017, Springer Science+Business Media New York.
Keywords
- Convex subdivision
- Local minimum
- Partial matching
- RMS distance
- Shape matching