Abstract
We consider a geometric matching of two realistic terrains, each of which is modeled as a piecewise-linear bivariate function. For two realistic terrains f and g where the domain of g is relatively larger than that of f, we seek to find a translated copy f¢ of f such that the domain of f ¢ is a sub-domain of g and the L∞ or the L1 distance of f¢ and g restricted to the domain of f¢ is minimized. In this paper, we show a tight bound on the number of different combinatorial structures that f and g can have under translation in their projections on the xy-plane. We give a deterministic algorithm and a randomized algorithm that compute an optimal translation of f with respect to g under L∞ metric. We also give a deterministic algorithm that computes an optimal translation of f with respect to g under L1 metric.
Cite
CITATION STYLE
Yoon, S. D., Kim, M. G., Son, W., & Ahn, H. K. (2015). Geometric matching algorithms for two realistic terrains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9472, pp. 285–295). Springer Verlag. https://doi.org/10.1007/978-3-662-48971-0_25
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.