Efficiently Approximating Polygonal Paths in Three and Higher Dimensions |
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Authors: | G Barequet D Z Chen O Daescu M T Goodrich J Snoeyink |
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Affiliation: | (1) Center for Geometric Computing, Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. {barequet,goodrich}@cs.jhu.edu. (The first author is currently affiliated with the Faculty of Computer Science at The Technion—Israel Institute of Technology.), US;(2) Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA. {chen,odaescu}@cse.nd.edu., US;(3) Department of Computer Science, University of North Carolina at Chapel Hill, NC 27599—3175, USA. snoeyink@cs.unc.edu., US |
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Abstract: | We present efficient algorithms for solving polygonal-path approximation problems in three and higher dimensions. Given
an n -vertex polygonal curve P in \R
d
, d \geq 3 , we approximate P by another poly- gonal curve P' of m ≤ n vertices in \R
d
such that the vertex sequence of P' is an ordered subsequence of the vertices of P . The goal is either to minimize the size m of P' for a given error tolerance \eps (called the min-\# problem), or to minimize the deviation error \eps between P and P' for a given size m of P' (called the min- \eps problem). Our techniques enable us to develop efficient near-quadratic-time algorithms in three dimensions and subcubic-time
algorithms in four dimensions for solving the min-\# and min-\eps problems. We discuss extensions of our solutions to d -dimensional space, where d > 4 , and for the L
1
and L
∈
fty metrics.
Received January 10, 1999; revised November 8, 2000. |
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Keywords: | , Curve approximation, Parametric searching, |
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