An efficient and accurate point matchingalgorithm named advancedweightgraphtransformationmatching (AWGTM) is proposed in this study. Instead of relying only on the elimination of dubious matches, the method itera...
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An efficient and accurate point matchingalgorithm named advancedweightgraphtransformationmatching (AWGTM) is proposed in this study. Instead of relying only on the elimination of dubious matches, the method iteratively reserve correspondences which have a small angular distance between two nearest-neighbour graphs. The proposed algorithm is compared against weightgraphtransformationmatching (WGTM) and graphtransformationmatching (GTM). Experimental results demonstrate the superior performance in eliminating outliers and reserving inliers of AWGTM algorithm under various conditions for images, such as duplication of patterns and non-rigid deformation of objects. An execution time comparison is also presented, where AWGTM shows the best results for high outlier rates.
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