Restoration of epipolar line based on multi-population cooperative particle swarm optimization

Authors:
Hongwei Gao;Xiaofeng Liu;Jinguo Liu;Fuguo Chen;Ben Niu
Affiliations:
School of Information Science & Engineering, Shenyang Ligong University, Shenyang, China;Jilin Provincial Institute of Education, Changchu, China;State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China;School of Information Science & Engineering, Shenyang Ligong University, Shenyang, China;College of Management, Shenzhen University, Shenzhen, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Year:
2011

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Abstract

A high precision epipolar line restoration algorithm based on Multi-population Cooperative PSO (MCPSO) is proposed in this paper. It adopts Harris operator to extract corner point and finishes gray cross -correlation matching. Firstly, the fundamental matrix initial value between matches in two images is calculated by 8 pairs matches algorithm. And then the optimal value of this matrix is gotten by MCPSO and PSO respectively based on the object function which is the distance between the point and corresponding polar line. Finally, the experiment results prove the validity and practicability of the proposed method.