ML Anthology

Multiview Constraints in Frequency Space and Camera Calibration from Unsynchronized Images

Hiroki Matsumoto, Jun Sato, Fumihiko Sakaue
CVPR 2010 pp. 1601-1608
doi:10.1109/CVPR.2010.5539779 /cvpr/2010/matsumoto2010cvpr-multiview/

Abstract

In this paper, we propose a method for calibrating relative position and orientation of multiple unsynchronized cameras from general moving points. If the sampling times of multiple cameras are different from each other, there is no corresponding point in the images of moving points and we cannot calibrate these cameras. In this paper we analyze geometric relationships of multiple cameras in the frequency space, and show that they enable us to calibrate multiple unsynchronized cameras accurately even if exact corresponding points do not exist in images. The proposed method does not require any interpolation of moving points in images.

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Cite

Text

Matsumoto et al. "Multiview Constraints in Frequency Space and Camera Calibration from Unsynchronized Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539779

Markdown

[Matsumoto et al. "Multiview Constraints in Frequency Space and Camera Calibration from Unsynchronized Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/matsumoto2010cvpr-multiview/) doi:10.1109/CVPR.2010.5539779

BibTeX

@inproceedings{matsumoto2010cvpr-multiview,
  title     = {{Multiview Constraints in Frequency Space and Camera Calibration from Unsynchronized Images}},
  author    = {Matsumoto, Hiroki and Sato, Jun and Sakaue, Fumihiko},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {1601-1608},
  doi       = {10.1109/CVPR.2010.5539779},
  url       = {https://mlanthology.org/cvpr/2010/matsumoto2010cvpr-multiview/}
}