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

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 cho...

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Main Authors: Wentai Lei, Mengdi Xu, Feifei Hou, Wensi Jiang, Chiyu Wang, Ye Zhao, Tiankun Xu, Yan Li, Yumei Zhao, Wenjun Li
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/12/2170
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author Wentai Lei
Mengdi Xu
Feifei Hou
Wensi Jiang
Chiyu Wang
Ye Zhao
Tiankun Xu
Yan Li
Yumei Zhao
Wenjun Li
author_facet Wentai Lei
Mengdi Xu
Feifei Hou
Wensi Jiang
Chiyu Wang
Ye Zhao
Tiankun Xu
Yan Li
Yumei Zhao
Wenjun Li
author_sort Wentai Lei
collection DOAJ
description 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 <i>X</i>-, <i>Y</i>-, <i>Z</i>-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.
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spelling doaj.art-8aab768d5af54e4b9abc75614fc0f7552023-11-21T01:19:23ZengMDPI AGElectronics2079-92922020-12-01912217010.3390/electronics9122170Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose DecompositionWentai Lei0Mengdi Xu1Feifei Hou2Wensi Jiang3Chiyu Wang4Ye Zhao5Tiankun Xu6Yan Li7Yumei Zhao8Wenjun Li9School of Computer Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410075, ChinaBeijing Mass Transit Railway Operation Co. LTD., Beijing 100000, ChinaBeijing Mass Transit Railway Operation Co. LTD., Beijing 100000, ChinaBeijing Mass Transit Railway Operation Co. LTD., Beijing 100000, ChinaYewuxuan (Beijing) Communication Technology Co. LTD., Beijing 100000, ChinaYewuxuan (Beijing) Communication Technology Co. LTD., Beijing 100000, ChinaCameras 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 <i>X</i>-, <i>Y</i>-, <i>Z</i>-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.https://www.mdpi.com/2079-9292/9/12/2170interactive camera calibrationsearch algorithmpose selectionuser guidancepose decomposition
spellingShingle Wentai Lei
Mengdi Xu
Feifei Hou
Wensi Jiang
Chiyu Wang
Ye Zhao
Tiankun Xu
Yan Li
Yumei Zhao
Wenjun Li
Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
Electronics
interactive camera calibration
search algorithm
pose selection
user guidance
pose decomposition
title Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
title_full Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
title_fullStr Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
title_full_unstemmed Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
title_short Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
title_sort calibration venus an interactive camera calibration method based on search algorithm and pose decomposition
topic interactive camera calibration
search algorithm
pose selection
user guidance
pose decomposition
url https://www.mdpi.com/2079-9292/9/12/2170
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