Extrinsic Calibration for Wide-Baseline RGB-D Camera Network

Author(s)

Ju Shen, University of DaytonFollow
Wanxin Xu, University of Kentucky
Ying Luo, University of Kentucky
Po-Chang Su, University of Kentucky
Sen-ching S. Cheung, University of Kentucky

Document Type

Conference Paper

Publication Date

9-2014

Publication Source

IEEE International Workshop on Multimedia Signal Processing

Abstract

In the recent years, color and depth camera systems have attracted intensive attention because of its wide applications in image-based rendering, 3D model reconstruction, and human tracking and pose estimation. These applications often require multiple color and depth cameras to be placed with wide separation so as to capture the scene objects from different prospectives. The difference in modality and the wide baseline make calibration a challenging problem. In this paper, we present an algorithm that simultaneously and automatically calibrates the extrinsics across multiple color and depth cameras across the network. Rather than using the standard checkerboard, we use a sphere as a calibration object to identify the correspondences across different views. We experimentally demonstrate that our calibration framework can seamlessly integrate different views with wide baselines that outperforms other techniques in the literature.

Inclusive pages

1-6

ISBN/ISSN

978-1-4799-5896-2

Comments

Permission documentation is on file.

Copyright

Copyright © 2014, IEEE

Publisher

IEEE

Place of Publication

Jakarta, Indonesia

Peer Reviewed

yes

eCommons Citation

Shen, Ju; Xu, Wanxin; Luo, Ying; Su, Po-Chang; and Cheung, Sen-ching S., "Extrinsic Calibration for Wide-Baseline RGB-D Camera Network" (2014). Computer Science Faculty Publications. 49.
https://ecommons.udayton.edu/cps_fac_pub/49