Image Matching and Retrieval by Repetitive Patterns

Doubek, Petr; Matas, Jiří; Perd’och, Michal; Chum, Ondřej

Type of document

příspěvek z konference - elektronický

Author

Doubek, Petr

Matas, Jiří

Perd’och, Michal

Chum, Ondřej

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© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Abstract

Detection of repetitive patterns in images has been studied for a long time in computer vision. This paper discusses a method for representing a lattice or line pattern by shift-invariant descriptor of the repeating element. The descriptor overcomes shift ambiguity and can be matched between different a views. The pattern matching is then demonstrated in retrieval experiment, where different images of the same buildings are retrieved solely by repetitive patterns.

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