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Feature matching for illumination variation images

[+] Author Affiliations
Zhenfeng Shao, Chong Liu

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, No. 129 Luoyu Road, Wuhan 430079, China

Min Chen

Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, West Section, High-Tech Zone, Chengdu 611756, China

J. Electron. Imaging. 24(3), 033011 (May 21, 2015). doi:10.1117/1.JEI.24.3.033011
History: Received November 9, 2014; Accepted April 22, 2015
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Abstract.  Illumination variability is one of the most important issues affecting imagery matching performances and still remains a critical problem in the literature, although different levels of improvement have been reported in recent years. This study proposes an illumination robust image matching method. There are three steps in the proposed method: first, local regions are extracted and matched from the input images by using a multiresolution region detector and an illumination robust shape descriptor; second, an algorithm is proposed to estimate the overlapping areas of images and enhance them based on the region matches; finally, general feature detectors and descriptors are combined to process the previous results for illumination robust matching. Experimental results demonstrate that the proposed matching method provides significant improvement in robustness for illumination change images compared with traditional methods.

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Citation

Zhenfeng Shao ; Min Chen and Chong Liu
"Feature matching for illumination variation images", J. Electron. Imaging. 24(3), 033011 (May 21, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.3.033011


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