Optimum polygonal approximation of digitized curves
Pattern Recognition Letters
An algorithm for polygonal approximation based on iterative point elimination
Pattern Recognition Letters
Techniques for Assessing Polygonal Approximations of Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient algorithm for the optimal polygonal approximation of digitized curves
Pattern Recognition Letters
Tabu Search
Improving fitting quality of polygonal approximation by using the dynamic programming technique
Pattern Recognition Letters
Reduced-search dynamic programming for approximation of polygonal curves
Pattern Recognition Letters
Speeding Up the Douglas-Peucker Line-Simplification Algorithm
Speeding Up the Douglas-Peucker Line-Simplification Algorithm
Multiresolution Polygonal Approximation of Digital Curves
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A moment-based polygonal approximation algorithm for regular digital curves
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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A Tabu Move Merge Split (TMMS) algorithm is proposed for the polygonal approximation problem. TMMS incorporates a tabu principle to avoid premature convergence into local minima. TMMS is compared to optimal, near to optimal top down Multi-Resolution (TDMR) and classical split and merge heuristics solutions. Experiments show that potential improvements for crudest approximations can be obtained. The evaluation is carried out on 2D geographic maps according to effectiveness and efficiency measures.