Title
Partial-Matching and Hausdorff RMS Distance Under Translation: Combinatorics and Algorithms.
Abstract
We consider the RMS distance (sum of squared distances between pairs of points) under translation between two point sets in the plane, in two different setups. In the partial-matching setup, each point in the smaller set is matched to a distinct point in the bigger set. Although the problem is not known to be polynomial, we establish several structural properties of the underlying subdivision of the plane and derive improved bounds on its complexity. 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. In the Hausdorff setup, each point is paired to its nearest neighbor in the other set. We develop algorithms for finding a local minimum of the Hausdorff RMS distance in nearly linear time on the line, and in nearly quadratic time in the plane. These improve substantially the worst-case behavior of the popular ICP heuristics for solving this problem.
Year
DOI
Venue
2014
10.1007/978-3-662-44777-2_9
european symposium on algorithms
Field
DocType
Volume
k-nearest neighbors algorithm,Discrete mathematics,Combinatorics,Square (algebra),Polynomial,Algorithm,Heuristics,Subdivision,Hausdorff space,Time complexity,Mathematics
Journal
abs/1411.7273
Citations 
PageRank 
References 
1
0.36
4
Authors
7
Name
Order
Citations
PageRank
Rinat Ben Avraham110.36
Matthias Henze241.26
Rafel Jaume321.06
Balázs Keszegh415624.36
Orit E. Raz510.70
Micha Sharir684051183.84
Igor Tubis710.36