Simultaneous calibration: a joint optimization approach for multiple Kinect and external cameras

Yajie Liao, Ying Sun, Jiangyi Kong, Guozhang Jiang, Du Jiang, Haibin Cai, Zhaojie Ju, Hui Yu, Honghai Liu

Research output: Contribution to journalArticlepeer-review

370 Downloads (Pure)


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.
Original languageEnglish
Issue number7
Publication statusPublished - 24 Jun 2017


  • joint calibration
  • Kinect
  • external camera
  • depth camera


Dive into the research topics of 'Simultaneous calibration: a joint optimization approach for multiple Kinect and external cameras'. Together they form a unique fingerprint.

Cite this