Abstract
According to the numerous false matches of SIFT feature attribution of zooming image, false matches elimination algorithm, combined with geometric constraint of zooming image, is proposed in this paper. It aims to optimize square sum function of distance from point to corresponding polar line and adopt PSO to do iterative optimization that false matches points could be eliminated. The experimental results prove that the proposed algorithm is efficient and stable.
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Gao, H., Peng, D., Niu, B., Li, B. (2013). PSO-Based SIFT False Matches Elimination for Zooming Image. In: Huang, DS., Jo, KH., Zhou, YQ., Han, K. (eds) Intelligent Computing Theories and Technology. ICIC 2013. Lecture Notes in Computer Science(), vol 7996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39482-9_74
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DOI: https://doi.org/10.1007/978-3-642-39482-9_74
Publisher Name: Springer, Berlin, Heidelberg
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