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15 November 2007 Line feature matching algorithm
Taisong Jin, Cuihua Li
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Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67881U (2007) https://doi.org/10.1117/12.750276
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
This paper presents a line feature matching algorithm. Firstly, it extracts the set of line features in the image, and represents an object using attributed relational graph (ARG). By defining relation vectors between the adjacent features, the graph can describe the structural information of an object. Secondly, the one-to-one correspondences between model features and image features is established by two processes - coarse match and refined match through the analysis of matching ordering and matching number of relation vectors. Finally, the object examples in the image are extracted. Test showed that the proposed algorithm had superior performance to the present line feature matching algorithms, which is robust to shape deformation, or input noise, and decreased the computational cost.
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Taisong Jin and Cuihua Li "Line feature matching algorithm", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67881U (15 November 2007); https://doi.org/10.1117/12.750276
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KEYWORDS
Image processing
Feature extraction
Vector spaces
Image quality
Binary data
Detection and tracking algorithms
Databases
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