sensors-17-01491.pdf (4.1 MB)
Simultaneous calibration: a joint optimization approach for multiple Kinect and external cameras
journal contribution
posted on 2019-10-09, 07:43 authored by Yajie Liao, Ying Sun, Gongfa Li, Jianyi Kong, Guozhang Jiang, Du Jiang, Haibin CaiHaibin Cai, Zhaojie Ju, Hui Yu, Honghai LiuCamera calibration is a crucial problem in many applications, such as 3D reconstruction, structure from motion, object tracking and face alignment. Numerous methods have been proposed to solve the above problem with good performance in the last few decades. However, few methods are targeted at joint calibration of multi-sensors (more than four devices), which normally is a practical issue in the real-time systems. In this paper, we propose a novel method and a corresponding workflow framework to simultaneously calibrate relative poses of a Kinect and three external cameras. By optimizing the final cost function and adding corresponding weights to the external cameras in different locations, an effective joint calibration of multiple devices is constructed. Furthermore, the method is tested in a practical platform, and experiment results show that the proposed joint calibration method can achieve a satisfactory performance in a project real-time system and its accuracy is higher than the manufacturer’s calibration.
Funding
National Natural Science Foundation of China (Grant No. 51575407, 51575338, 61273106, 51575412)
EU Seventh Framework Programme (Grant No. 611391)
Wuhan University of Science and Technology graduate students’ short-term study abroad special funds
History
School
- Science
Department
- Computer Science
Published in
SensorsVolume
17Issue
7Publisher
MDPIVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/Acceptance date
2017-06-20Publication date
2017-06-24Copyright date
2017eISSN
1424-8220Publisher version
Language
- en