Paper
19 September 2014 Application of improved genetic algorithm in camera calibration
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Abstract
With the camera internal parameters known, to calculate the external parameters is to solve a set of highly nonlinear over-determined equations. In this paper, an improved hybrid genetic algorithm is adopted to obtain external parameters. It combines the advantages of genetic algorithm and Newton method, making it possible to obtain results with high accuracy and a faster convergence.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weimin Li, Hui Liu, Lichun Zhu, and Yu Zhao "Application of improved genetic algorithm in camera calibration", Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 92161O (19 September 2014); https://doi.org/10.1117/12.2061250
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KEYWORDS
Genetic algorithms

Cameras

Calibration

3D modeling

Reconstruction algorithms

Evolutionary algorithms

Astronomy

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