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Proximate planar point location
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Source Annual Symposium on Computational Geometry archive
Proceedings of the nineteenth annual symposium on Computational geometry table of contents
San Diego, California, USA
SESSION: Data structures table of contents
Pages: 220 - 226  
Year of Publication: 2003
ISBN:1-58113-663-3
Authors
John Iacono  Polytechnic University, Brooklyn NY
Stefan Langerman  Université Libre de Bruxelles, Bruxelles, Belgium
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 13,   Citation Count: 2
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ABSTRACT

A new data structure is presented for planar point location that executes a point location query quickly if it is spatially near the previous query. Given a triangulation T of size n and a sequence of point location queries A=q1, qm, the structure presented executes qi in time O(log d(qi-1,qi)). The distance function, d, that is used is a two dimensional generalization of rank distance that counts the number of triangles in a region from qi-1 to qi. The data structure uses O(n log log n) space.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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E. Demaine, J. Iacono, and S. Langerman. Proximate point searching. In Canadian Conference on Computational Geometry, pp. 1--4, 2002.
 
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Collaborative Colleagues:
John Iacono: colleagues
Stefan Langerman: colleagues