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《Journal of Image and Graphics》 2011-01
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An effective robust estimation algorithm for image correspondence

He Zhoucan,Wang Qing,Yang Heng (School of Computer Science and Engineering Northwestern Polytechnical University,Xi'an 710072 China)  
Outliers are inevitable in image matching process.To address this issue,a novel topology constraint based outlier rejection algorithm is proposed to efficiently remove the mismatches between images after coarse matching.By using the topology constraint to filter the sample sets,the proposed algorithm calculates the transformation between images based on the sample set which fully satisfies the topology constraints.Experimental results demonstrate that the proposed algorithm can significantly reduce the computational complexity,while keeping the accuracy compared to the traditional RANSAC and improved PROSAC algorithms.Therefore,the proposed method can effectively and efficiently improve the performance of image matching,and furthermore benefits the application of 3D scene reconstruction in both accuracy and robustness.
【Fund】: 国家自然科学基金项目(60873085);; 国家高技术研究发展计划(863)项目(2007AA01Z314);; 西北工业大学研究生创业种子基金项目(Z200963)
【CateGory Index】: TP391.41
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