Time and space efficient collinearity indexing
Time and space efficient collinearity indexing
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DOI:
10.1016/j.comgeo.2022.101963
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发表时间:
2022-11
期刊:
影响因子:
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通讯作者:
B. Aronov;Esther Ezra;M. Sharir;Guy Zigdon
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文献类型:
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作者:
B. Aronov;Esther Ezra;M. Sharir;Guy Zigdon
The collinearity testing problem is a basic problem in computational geometry, in which, given three sets A, B, C in the plane, of n points each, the task is to detect a collinear triple of points in A× B× C or report there is no such triple. In this paper we consider a preprocessing variant of this question, namely, the collinearity indexing problem, in which we are given two sets A and B, each of n points in the plane, and our goal is to preprocess A and B into a data structure, so that, for any query point q∈ R 2, we can determine whether q is collinear with a pair of points (a, b)∈ A× B. We provide a solution to the problem for the case where the points of A, B lie on an integer grid, and the query points lie on a vertical line, with a data structure of subquadratic storage and sublinear query time. We then extend our result to the case where the query points lie on the graph of a polynomial of constant degree. Our solution is based on the function-inversion technique of Fiat and Naor [11].