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

Xiaoqin Wang; Y. Ahmet Sekercioglu; Tom Drummond

ICASSP 2015accepted0 citations

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

Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond

Abstract

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

BibTeX

@inproceedings{icassp2015_selfcalibrationi,
  title = {Self-calibration in visual sensor networks equipped with RGB-D cameras},
  author = {Xiaoqin Wang and Y. Ahmet Sekercioglu and Tom Drummond},
  booktitle = {ICASSP 2015},
  year = {2015}
}