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Article

Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition

1
School of Computer Science and Engineering, Central South University, Changsha 410075, China
2
Beijing Mass Transit Railway Operation Co. LTD., Beijing 100000, China
3
Yewuxuan (Beijing) Communication Technology Co. LTD., Beijing 100000, China
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(12), 2170; https://doi.org/10.3390/electronics9122170
Submission received: 26 October 2020 / Revised: 18 November 2020 / Accepted: 13 December 2020 / Published: 17 December 2020
(This article belongs to the Special Issue Autonomous Vehicles Technology)

Abstract

Cameras are widely used in many scenes such as robot positioning and unmanned driving, in which the camera calibration is a major task in this field. The interactive camera calibration method based on a plane board is becoming popular due to its stability and handleability. However, most methods choose suggestions subjectively from a fixed pose dataset, which is error-prone and limited for different camera models. In addition, these methods do not provide clear guidelines on how to place the board in the specified pose. This paper proposes a new interactive calibration method, named ‘Calibration Venus’, including two main parts: pose search and pose decomposition. First, a pose search algorithm based on simulated annealing (SA) algorithm is proposed to select the optimal pose in the entire pose space. Second, an intuitive and easy-to-use user guidance method is designed to decompose the optimal pose into four sub-poses: translation, each rotation along X-, Y-, Z-axes. Thereby the users could follow the guide step by step to accurately complete the placement of the calibration board. Experimental results evaluated on simulated and real datasets show that the proposed method can reduce the difficulty of calibration, and improve the accuracy of calibration, as well as provide better guidance.
Keywords: interactive camera calibration; search algorithm; pose selection; user guidance; pose decomposition interactive camera calibration; search algorithm; pose selection; user guidance; pose decomposition

Share and Cite

MDPI and ACS Style

Lei, W.; Xu, M.; Hou, F.; Jiang, W.; Wang, C.; Zhao, Y.; Xu, T.; Li, Y.; Zhao, Y.; Li, W. Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition. Electronics 2020, 9, 2170. https://doi.org/10.3390/electronics9122170

AMA Style

Lei W, Xu M, Hou F, Jiang W, Wang C, Zhao Y, Xu T, Li Y, Zhao Y, Li W. Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition. Electronics. 2020; 9(12):2170. https://doi.org/10.3390/electronics9122170

Chicago/Turabian Style

Lei, Wentai, Mengdi Xu, Feifei Hou, Wensi Jiang, Chiyu Wang, Ye Zhao, Tiankun Xu, Yan Li, Yumei Zhao, and Wenjun Li. 2020. "Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition" Electronics 9, no. 12: 2170. https://doi.org/10.3390/electronics9122170

APA Style

Lei, W., Xu, M., Hou, F., Jiang, W., Wang, C., Zhao, Y., Xu, T., Li, Y., Zhao, Y., & Li, W. (2020). Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition. Electronics, 9(12), 2170. https://doi.org/10.3390/electronics9122170

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