Camera self-calibration using linear features from targets

Longzhi Zhang; Dongmei Wu

doi:10.1117/12.2557199

3 January 2020 Camera self-calibration using linear features from targets

Longzhi Zhang, Dongmei Wu

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113730X (2020) https://doi.org/10.1117/12.2557199
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

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.

Citation Download Citation

Longzhi Zhang and Dongmei Wu "Camera self-calibration using linear features from targets", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113730X (3 January 2020); https://doi.org/10.1117/12.2557199

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