1 November 2016 A robust line matching method based on local appearance descriptor and neighboring geometric attributes
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Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101572L (2016); doi: 10.1117/12.2246935
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
This paper reports an efficient method for line matching, which utilizes local intensity gradient information and neighboring geometric attributes. Lines are detected in a multi-scale way to make the method robust to scale changes. A descriptor based on local appearance is built to generate candidate matching pairs. The key idea is to accumulate intensity gradient information into histograms based on their intensity orders to overcome the fragmentation problem of lines. Besides, local coordinate system is built for each line to achieve rotation invariance. For each line segment in candidate matching pairs, a histogram is built by aggregating geometric attributes of neighboring line segments. The final matching measure derives from the distance between normalized geometric attributes histograms. Experiments show that the proposed method is robust to large illumination changes and is rotation invariant.
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Jing Xing, Zhenzhong Wei, Guangjun Zhang, "A robust line matching method based on local appearance descriptor and neighboring geometric attributes", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572L (1 November 2016); doi: 10.1117/12.2246935; http://dx.doi.org/10.1117/12.2246935
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KEYWORDS
Image segmentation

Quantization

Distance measurement

3D modeling

Computer vision technology

Machine vision

Object recognition

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