Geometric Calibration for Mobile, Stereo, Autofocus Cameras

Abstract

Mobile, stereo, autofocus cameras present unique challenges for robust and efficient depth estimation. Specifically, existing approaches for calibration of the stereo camera intrinsic and extrinsic parameters are inadequate because of per-shot changes in the configuration, long-term mechanical drift, extremely constrained manufacturing processes, and the requirement for real-world robustness. We present a hybrid strategy that combines a single-photo of a calibration grid in an offline step with online blind refinement, which satisfies all of these goals.

Cite

Text

DiVerdi and Barron. "Geometric Calibration for Mobile, Stereo, Autofocus Cameras." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016. doi:10.1109/WACV.2016.7477646

Markdown

[DiVerdi and Barron. "Geometric Calibration for Mobile, Stereo, Autofocus Cameras." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016.](https://mlanthology.org/wacv/2016/diverdi2016wacv-geometric/) doi:10.1109/WACV.2016.7477646

BibTeX

@inproceedings{diverdi2016wacv-geometric,
  title     = {{Geometric Calibration for Mobile, Stereo, Autofocus Cameras}},
  author    = {DiVerdi, Stephen and Barron, Jonathan T.},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2016},
  pages     = {1-8},
  doi       = {10.1109/WACV.2016.7477646},
  url       = {https://mlanthology.org/wacv/2016/diverdi2016wacv-geometric/}
}