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Camera self-calibration using linear features from targets
Author(s): Longzhi Zhang; Dongmei Wu
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Paper Abstract

Objective of camera calibration is to provide a transformation between object space and image space in practical computer vision tasks. Thus, in order to acquire the accurate and reliable information on visual image, intrinsic and extrinsic parameters of camera should be precisely calibrated. Compared with traditional methods and active vision based methods, self-calibration methods are not rely on prior information of visual scenes, which have more widely application prospects. However, in spite of self-calibration has been studied for years, and multitudes of ideas have been proposed, current research difficulties on self-calibration methods still lies in calibration precision. This paper put forward a camera self-calibration method only using linear features from targets, which could calibrate camera parameters in a highly accuracy. Moreover, an experiment is implemented to verify the effectiveness of our method, simultaneously, the experimental result illustrate that the proposed method has a highly calibration precision.

Paper Details

Date Published: 3 January 2020
PDF: 5 pages
Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113730X (3 January 2020); doi: 10.1117/12.2557199
Show Author Affiliations
Longzhi Zhang, Harbin Institute of Technology (China)
Dongmei Wu, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 11373:
Eleventh International Conference on Graphics and Image Processing (ICGIP 2019)
Zhigeng Pan; Xun Wang, Editor(s)

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