Study on camera calibration method in plane mirror detection system

Chao Wang; Qiudong Zhu; Shanshan Wang

doi:10.1117/12.2505879

30 January 2019 Study on camera calibration method in plane mirror detection system

Chao Wang, Qiudong Zhu, Shanshan Wang

Proceedings Volume 10841, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Meta-Surface-Wave and Planar Optics; 108410M (2019) https://doi.org/10.1117/12.2505879
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China

Abstract

Camera calibration is vital in inverse Hartmann system for measuring surface shape of large aperture plane mirrors. It directly affects system accuracy. Through calibration, the internal and external parameters of camera can be acquired. In order to increase the accuracy of camera calibration, this paper selects dot matrix pattern suitable for our system as calibration plate and applies centroid detection algorithm to extract position of feature points. The impact of number and diameter size of dots on camera calibration has been analyzed. Through experiment, the repeatability of the centroid detection algorithm for dot matrix reaches 0.004 pixels, while corner extraction algorithm for checkboard is only 0.007 pixels. It indicates that using dot matrix pattern to calibrate camera is better than using a checkboard in inverse Hartmann system.

Citation Download Citation

Chao Wang, Qiudong Zhu, and Shanshan Wang "Study on camera calibration method in plane mirror detection system", Proc. SPIE 10841, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Meta-Surface-Wave and Planar Optics, 108410M (30 January 2019); https://doi.org/10.1117/12.2505879

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KEYWORDS

Cameras

Calibration

Detection and tracking algorithms

LCDs

Imaging systems

Mirrors

Feature extraction

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