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《Transactions of Beijing Institute of Technology》 2008-07
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Method of Matching Images with Different Resolutions

ZHOU Zhi-qiang,WANG Bo,Lü Ji(Department of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China)  
In order to solve the problem of matching two images with different resolutions,a one-to-many image matching strategy is proposed,employing the Gaussian image pyramid.Modified scale invariant feature transform(SIFT) descriptor is used to extract the image feature of the local region around each corner point,and used to match the corner.A simple and robust method based on sample consensus is presented to eliminate spurious matches.After all the spurious matches are eliminated,the best one-to-one image matching result is chosen from all the matching results as the final exact result.Extensive experiments showed that the proposed method is able to match images with different resolutions effectively,and that it is robust and easy to compute.
【Fund】: 国家部委预研项目(51405030104BQ0171)
【CateGory Index】: TP391.41
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
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5 Zhang Shaohui Shen Xiaorong Fan Yaozu(School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China);Method in image's feature extraction and matching[J];Journal of Beijing University of Aeronautics and Astronautics;2008-05
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8 WANG Yu-shi1,LI Yuan-ning2,GAO Wen1,2,3(1.Department of Computer Science and Engineering,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China;2.Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100081,China;3.School of Electronics Engineering and Computer Science,Peking University,Beijing 100871,China);Detecting Pornographic Images with Visual Words[J];Transactions of Beijing Institute of Technology;2008-05
9 NIE Qing1,ZHAN Shou-yi2 (1.Department of Electronic Engineering,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;2.School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China);Region-Based Image Classification[J];Transactions of Beijing Institute of Technology;2008-10
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