Paper
14 May 2017 Estimation of extrinsic parameters of multiple fish-eye cameras using calibration markers
Hiroya Okamoto, Yuki Tanaka, Akihiko Hishigi, Abdelaziz Khiat, Noriko Shimomura, Gakuto Masuyama, Kazunori Umeda
Author Affiliations +
Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 103380B (2017) https://doi.org/10.1117/12.2266999
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan
Abstract
This paper introduces a simultaneous estimation method of the extrinsic parameters of multiple fish-eye cameras using simple calibration markers. Precise extrinsic parameters of cameras mounted on a car are important, for example, to provide a seamless overhead view image to the driver. Calibration markers are set in the area that are observable from adjacent two cameras. Extrinsic parameters of each camera are estimated individually and then combined and refined using a geometric constraint. Cube markers are chosen as the calibration markers. The method is evaluated by simulation and experiments using a real car. It is shown that extrinsic parameters are obtained by the proposed method and suggested that the errors of intrinsic parameters affect the estimation of extrinsic parameters.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hiroya Okamoto, Yuki Tanaka, Akihiko Hishigi, Abdelaziz Khiat, Noriko Shimomura, Gakuto Masuyama, and Kazunori Umeda "Estimation of extrinsic parameters of multiple fish-eye cameras using calibration markers", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380B (14 May 2017); https://doi.org/10.1117/12.2266999
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KEYWORDS
Cameras

Calibration

Content addressable memory

Imaging systems

Error analysis

3D image processing

Computer simulations

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