Journal
SENSORS
Volume 17, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/s17071491
Keywords
joint calibration; Kinect; external camera; depth camera
Funding
- National Natural Science Foundation of China [51575407, 51575338, 61273106, 51575412]
- EU [611391]
- Wuhan University of Science and Technology
- EPSRC [EP/G041377/1] Funding Source: UKRI
Ask authors/readers for more resources
Camera 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available