PSO-based SIFT false matches elimination for zooming image

Authors:
Hongwei Gao;Dai Peng;Ben Niu;Bin Li
Affiliations:
School of Information Science & Engineering, Shenyang Ligong University, Shenyang, China,State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenya ...;School of Information Science & Engineering, Shenyang Ligong University, Shenyang, China;College of Management, Shenzhen University, Shenzhen, China;State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

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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.