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Optical Engineering

Algorithm for camera parameter adjustment in multicamera systems
Author(s): Jianran Liu; Zaojun Fang; Kun Zhang; Min Tan
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Paper Abstract

Multicamera systems have many advantages and are widely used. However, many situations require camera parameters that are more accurate than those that are currently available. A new algorithm is proposed to improve the accuracy and consistency of these systems by adjusting the camera parameters. The algorithm assumes that the distribution of the measured point positions follows the Gaussian mixture model. Based on this model, point positions in space are estimated, and new camera parameters are computed from the estimation. A metric is defined to describe the difference between the newly computed and precalibrated camera parameters, following which the parameters are adjusted by minimizing this difference. Finally, the validity of the algorithm is confirmed by conducting experiments. Two indicators that describe the accuracy and consistency are defined and applied to analyze the experimental data.

Paper Details

Date Published: 15 October 2015
PDF: 10 pages
Opt. Eng. 54(10) 104108 doi: 10.1117/1.OE.54.10.104108
Published in: Optical Engineering Volume 54, Issue 10
Show Author Affiliations
Jianran Liu, Institute of Automation (China)
Zaojun Fang, Institute of Automation (China)
Kun Zhang, Institute of Automation (China)
Min Tan, Institute of Automation (China)

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