An Improved QPSO Algorithm Based on EXIF for Camera Self-calibration

Pengxiao Bao, Feng Gao, Liwei Shi*, Shuxiang Guo*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Binocular vision technology is an important branch of computer vision technology, which is widely used in robot motion, navigation, surgical treatment and many other fields. As is a crucial link, it is the basis of binocular vision technology to obtain the internal parameters of a digital camera. Traditional calibration methods, such as Zhengyou Zhang's method needs a calibration board, while the self-calibration method based on active vision needs to strictly control a camera to move in a designated way. Based on that, those methods can't be applied to simple and convenient occasions. In this paper, we aim to propose a new method of camera self-calibration by improving an existing QPSO algorithm with the EXIF information of digital camera photos. The method only needs to shot one object twice on different angles. We derive the conversion formula of equivalent focal length and pixel focal length and use it to initialize the algorithm. It is to find the optimal solution of the cost function transformed from the Kruppa equation by using the QPSO method. The experiment results proved that the improved method is better than the initial one and using the EXIF information to initialize the algorithm is feasible.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages762-767
Number of pages6
ISBN (Electronic)9781665441001
DOIs
Publication statusPublished - 8 Aug 2021
Event18th IEEE International Conference on Mechatronics and Automation, ICMA 2021 - Takamatsu, Japan
Duration: 8 Aug 202111 Aug 2021

Publication series

Name2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021

Conference

Conference18th IEEE International Conference on Mechatronics and Automation, ICMA 2021
Country/TerritoryJapan
CityTakamatsu
Period8/08/2111/08/21

Keywords

  • Camera self-calibration
  • EXIF information
  • KRUPPA equation
  • QPSO

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Bao, P., Gao, F., Shi, L., & Guo, S. (2021). An Improved QPSO Algorithm Based on EXIF for Camera Self-calibration. In 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021 (pp. 762-767). (2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA52036.2021.9512646