POLYLINE FITTING OF PLANAR POINTS UNDER MIN-SUM CRITERIA

Author:

ARONOV BORIS1,ASANO TETSUO2,KATOH NAOKI3,MEHLHORN KURT4,TOKUYAMA TAKESHI5

Affiliation:

1. Department of Computer and Information Science, Polytechnic University, Brooklyn, NY 11201, USA

2. School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, 923-1292, Japan

3. Faculty of Engineering, Department of Architecture and Architectural Systems, Kyoto University, Kyoto, 615-8540, Japan

4. Max-Planck-Institut für Informatik, D-66123, Saarbrücken, Germany

5. Graduate School of Information Sciences, Tohoku University, Sendai, 980-8579, Japan

Abstract

Fitting a curve of a certain type to a given set of points in the plane is a basic problem in statistics and has numerous applications. We consider fitting a polyline with k joints under the min-sum criteria with respect to L1- and L2-metrics, which are more appropriate measures than uniform and Hausdorff metrics in statistical context. We present efficient algorithms for the 1-joint versions of the problem and fully polynomial-time approximation schemes for the general k-joint versions.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Computational Mathematics,Computational Theory and Mathematics,Geometry and Topology,Theoretical Computer Science

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