Extrinsic calibration for wide-baseline RGB-D camera network

Ju Shen, Wanxin Xu, Ying Luo, Po Chang Su, Sen Ching Samson Cheung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

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.

Original languageEnglish
Title of host publication2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014
ISBN (Electronic)9781479958962
DOIs
StatePublished - Nov 14 2014
Event2014 16th IEEE International Workshop on Multimedia Signal Processing, MMSP 2014 - Jakarta, Indonesia
Duration: Sep 22 2014Sep 24 2014

Publication series

Name2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014

Conference

Conference2014 16th IEEE International Workshop on Multimedia Signal Processing, MMSP 2014
Country/TerritoryIndonesia
CityJakarta
Period9/22/149/24/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Signal Processing

Fingerprint

Dive into the research topics of 'Extrinsic calibration for wide-baseline RGB-D camera network'. Together they form a unique fingerprint.

Cite this