Efficient one dimensional real scaled matching

Amihood Amir; Ayelet Butman; Moshe Lewenstein; Ely Porat; Dekel Tsur

doi:10.1007/978-3-540-30213-1_1

Efficient one dimensional real scaled matching

Amihood Amir
, Ayelet Butman
, Moshe Lewenstein
, Ely Porat
, Dekel Tsur

Department of Computer Science and Artificial Intelligence

Institute of Technology
University of Haifa

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Real Scaled Matching refers to the problem of finding all locations in the text where the pattern, proportionally enlarged according to an arbitrary real-sized scale, appears. Real scaled matching is an important problem that was originally inspired by Computer Vision. In this paper, we present a new, more precise and realistic, definition for one dimensional real scaled matching, and an efficient algorithm for solving this problem. For a text of length n and a pattern of length m, the algorithm runs in time O(n logm +√nm ^3/2√logm).

Original language	English
Pages (from-to)	1-9
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3246
DOIs	https://doi.org/10.1007/978-3-540-30213-1_1
State	Published - 2004

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10.1007/978-3-540-30213-1_1

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Efficient one dimensional real scaled matching

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