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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Line Matching Using Appearance Similarities and Geometric Constraints
verfasst von : Lilian Zhang, Reinhard Koch
Erschienen in: Pattern Recognition
Verlag: Springer Berlin Heidelberg
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Line matching for image pairs under various transformations is a challenging task. In this paper, we present a line matching algorithm which considers both the local appearance of lines and their geometric attributes. A relational graph is built for candidate matches and a spectral technique is employed to solve this matching problem efficiently. Extensive experiments on a dataset which includes various image transformations validate the matching performance and the efficiency of the proposed line matching algorithm.