A novel camera calibration technique based on differential evolution particle swarm optimization algorithm

Author:

Deng Li,Lu Gen,Shao Yuying,Fei Minrui,Hu Huosheng

Funder

Key Project of Science and Technology Commission of Shanghai Municipality

National Key Scientific Instrument and Equipment Development

Fundamental research project of Shanghai Municipal Science and Technology Commission

Shanghai College Young Teachers' Training Plan

Project of Partial Discharge Fault Source Location Visualization Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference35 articles.

1. Y. Xu, D.X. Guo, T.X. Zheng, A.Y. Cheng, Research on camera calibration methods of the machine vision, in: Second International Conference on Mechanic Automation and Control Engineering, 2011, pp. 5150–5153.

2. A comprehensive review of current local features for computer vision;Li;Neurocomputing,2008

3. L.M. Song, W.F. Wu, J.R. Guo, X.H. Li, Survey on camera calibration technique, in: Proceedings of Fifth International Conference on Intelligent Human–Machine Systems and Cybernetics, vol. 2, 2013, pp. 389–392.

4. Research of linear camera calibration based on planar pattern;Sun;World Acad. Sci., Eng. Technol.,2011

5. R.V. Carlos, S.S. Antonio-Jose, Optimal conditions for camera calibration using a planar template, in: Proceedings of Eighteenth IEEE International Conference on Image Processing, 2011, pp. 853–856.

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