Self-calibration in visual sensor networks equipped with RGB-D cameras

Xiaoqin Wang, Yasar Ahmet Sekercioglu, Thomas William Drummond

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

Abstract

We consider the self-calibration problem (estimation of location and orientation of multiple camera sensors), in visual sensor networks equipped with RGBD
cameras. We propose two algorithms based on feature matching and relative pose estimation. First one uses Floyd-Warshall algorithm, and can accurately estimate the camera locations. On the other hand, the second algorithm is more scalable than the first one, and can be used in large networks if high accuracy is not an issue. Numerical results demonstrate that both algorithms, depending on the network topology, can be used for self-calibration in RGBD equipped visual sensor networks.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
EditorsDoug Gray, Doug Cochran
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages2289 - 2293
Number of pages5
ISBN (Print)9781467369978
DOIs
Publication statusPublished - 2015
EventIEEE International Conference on Acoustics, Speech and Signal Processing 2015 - Brisbane Convention & Exhibition Centre, Brisbane, Australia
Duration: 19 Apr 201524 Apr 2015
https://ieeexplore.ieee.org/xpl/conhome/7158221/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing 2015
Abbreviated titleICASSP 2015
CountryAustralia
CityBrisbane
Period19/04/1524/04/15
Internet address

Keywords

  • self-calibration
  • visual sensor network
  • RGB-D camera

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