Line segment matching plays an important role in image processing and computer vision, while it remains a challenging task for images under various transformations. In this work, we present a line matching algorithm which considers both the local appearance of lines and their geometric attributes. To overcome the problem of segment fragmentation and geometric variation, we extract lines in the scale space. To depict the local appearance of lines, we design a novel line descriptor called as Line Band Descriptor (LBD) based on the band representation of the Line Support Region (LSR). To uate the pairwise geometric consistencies, we define the pairwise geometric attributes between line pairs. Then we built a relational graph for candidate line matches and employ a spectral technique to solve this matching problem efficiently. The advantages of the proposed algorithm are as follows: (1) it s robust to image transformations because of the multi-scale line detection strategy (2) it s effic

LineMatchingSourceCode\Line Matching Using Appearance Similarities and Geometric Constraints.pdf
......................\....MatchingSourceCode\CMakeLists.txt
......................\......................\EDLineDetector.cpp
......................\......................\EDLineDetector.hh
......................\......................\LineDescriptor.cpp
......................\......................\LineDescriptor.hh
......................\......................\LineStructure.hh
......................\......................\PairwiseLineMatching.cpp
......................\......................\PairwiseLineMatching.hh
......................\......................\Readme.txt
......................\......................\TestLineMatchingAlgorithm.cpp
......................\LineMatchingSourceCode
LineMatchingSourceCode

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