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

Xiaoqin Wang; Yasar Ahmet Sekercioglu; Thomas William Drummond

doi:10.1109/ICASSP.2015.7178379

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

Xiaoqin Wang, Yasar Ahmet Sekercioglu, Thomas William Drummond

Electrical and Computer Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-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 language	English
Title of host publication	2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Editors	Doug Gray, Doug Cochran
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2289 - 2293
Number of pages	5
ISBN (Print)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178379
Publication status	Published - 2015
Event	IEEE International Conference on Acoustics, Speech and Signal Processing 2015 - Brisbane Convention & Exhibition Centre, Brisbane, Australia Duration: 19 Apr 2015 → 24 Apr 2015 https://ieeexplore.ieee.org/xpl/conhome/7158221/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Acoustics, Speech and Signal Processing 2015
Abbreviated title	ICASSP 2015
Country	Australia
City	Brisbane
Period	19/04/15 → 24/04/15
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7158221/proceeding (Proceedings)

Keywords

self-calibration
visual sensor network
RGB-D camera

Access to Document

10.1109/ICASSP.2015.7178379

Cite this

@inproceedings{c6e5edff8c9a43619f6e90b86565f8fc,

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.",

keywords = "self-calibration, visual sensor network, RGB-D camera",

author = "Xiaoqin Wang and Sekercioglu, {Yasar Ahmet} and Drummond, {Thomas William}",

year = "2015",

doi = "10.1109/ICASSP.2015.7178379",

language = "English",

isbn = "9781467369978",

pages = "2289 -- 2293",

editor = "Doug Gray and Doug Cochran",

booktitle = "2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Acoustics, Speech and Signal Processing 2015, ICASSP 2015 ; Conference date: 19-04-2015 Through 24-04-2015",

url = "https://ieeexplore.ieee.org/xpl/conhome/7158221/proceeding",

}

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 proceeding › Conference Paper › Research › peer-review

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N2 - 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.

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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