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://web.archive.org/web/20150331041908/http://icassp2015.org/

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

Cite this

Wang, X., Sekercioglu, Y. A., & Drummond, T. W. (2015). Self-calibration in visual sensor networks equipped with RGB-D cameras. In D. Gray, & D. Cochran (Eds.), 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2289 - 2293). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2015.7178379
Wang, Xiaoqin ; Sekercioglu, Yasar Ahmet ; Drummond, Thomas William. / Self-calibration in visual sensor networks equipped with RGB-D cameras. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). editor / Doug Gray ; Doug Cochran. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 2289 - 2293
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title = "Self-calibration in visual sensor networks equipped with RGB-D cameras",
abstract = "We consider the self-calibration problem (estimation of location and orientation of multiple camera sensors), in visual sensor networks equipped with RGBDcameras. 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.",
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Wang, X, Sekercioglu, YA & Drummond, TW 2015, Self-calibration in visual sensor networks equipped with RGB-D cameras. in D Gray & D Cochran (eds), 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2289 - 2293, IEEE International Conference on Acoustics, Speech and Signal Processing 2015, Brisbane, Australia, 19/04/15. https://doi.org/10.1109/ICASSP.2015.7178379

Self-calibration in visual sensor networks equipped with RGB-D cameras. / Wang, Xiaoqin; Sekercioglu, Yasar Ahmet; Drummond, Thomas William.

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ed. / Doug Gray; Doug Cochran. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 2289 - 2293.

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

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AB - We consider the self-calibration problem (estimation of location and orientation of multiple camera sensors), in visual sensor networks equipped with RGBDcameras. 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.

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Wang X, Sekercioglu YA, Drummond TW. Self-calibration in visual sensor networks equipped with RGB-D cameras. In Gray D, Cochran D, editors, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 2289 - 2293 https://doi.org/10.1109/ICASSP.2015.7178379