DocumentCode
1912926
Title
An Exact and Efficient Algorithm for the Orthogonal Art Gallery Problem
Author
Couto, Marcelo C. ; de Souza, C.C. ; De Rezende, Pedro J.
Author_Institution
State Univ. of Campinas, Campinas
fYear
2007
fDate
7-10 Oct. 2007
Firstpage
87
Lastpage
94
Abstract
In this paper, we propose an exact algorithm to solve the orthogonal art gallery problem in which guards can only be placed on the vertices of the polygon P representing the gallery. Our approach is based on a discretization of P into a finite set of points in its interior. The algorithm repeatedly solves an instance of the set cover problem obtaining a minimum set Z of vertices of P that can view all points in the current discretization. Whenever P is completely visible from Z, the algorithm halts; otherwise, the discretization is refined and another iteration takes place. We establish that the algorithm always converges to an optimal solution by presenting a worst case analysis of the number of iterations that could be effected. Even though these could theoretically reach 0(n4), our computational experiments reveal that, in practice, they are linear in n and, for n les 200, they actually remain less than three in almost all instances. Furthermore, the low number of points in the initial discretization, 0(n2), compared to the possible O(n4) atomic visibility polygons, renders much shorter total execution times. Optimal solutions found for different classes of instances of polygons with up to 200 vertices are also described.
Keywords
computational complexity; computational geometry; operations research; set theory; atomic visibility polygons; orthogonal art gallery problem; set cover problem; worst case analysis; Algorithm design and analysis; Art; Computer graphics; Image processing; Minimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics and Image Processing, 2007. SIBGRAPI 2007. XX Brazilian Symposium on
Conference_Location
Minas Gerais
ISSN
1530-1834
Print_ISBN
978-0-7695-2996-7
Type
conf
DOI
10.1109/SIBGRAPI.2007.15
Filename
4368172
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