Abstract
Linear characteristics exist widely in industrial objects, construction, and other scenes. Accurate straight line matching is the key for three-dimensional reconstruction, object recognition, and other applications. A novel straight line matching method is proposed based on the intersection context of coplanar line pairs. Firstly, the normalized cross-correlation matching algorithm is used for the initial matching of the straight line. Then, to improve the accuracy of line matching, the false matching lines of the initial matching are removed using epipolar geometry constraint. The geometric structure characteristics extracted from the intersecting lines are used to overcome the matching ambiguity for single line segments. The experimental results show that the method proposed in this paper is effective and feasible.
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Acknowledgments
This study was sponsored by the National Natural Science Foundation of China (Grant No. 61165011), the science and technology support program of Jiangxi province, China (Grant No. 20112BBG70092 and 20122BBF60072), the Youth Science Foundation of Jiangxi province, China (Grant No. 20132BAB211021), Aerospace Science and Technology Innovation Fund of China (Grant No. CASC201102), the scientific research project department of education of Jiangxi province, China (Grant No. GJJ12427).
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© 2014 Springer-Verlag Berlin Heidelberg
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Zeng, J., Zhang, Y., Wang, B., Fu, X. (2014). A Straight Line Matching Method Based on Intersecting Lines. In: Wen, Z., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54924-3_29
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DOI: https://doi.org/10.1007/978-3-642-54924-3_29
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