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Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras

Qian-Yi Zhou, Vladlen Koltun
CVPR 2014
doi:10.1109/CVPR.2014.65 /cvpr/2014/zhou2014cvpr-simultaneous/

Abstract

We describe an approach for simultaneous localization and calibration of a stream of range images. Our approach jointly optimizes the camera trajectory and a calibration function that corrects the camera's unknown nonlinear distortion. Experiments with real-world benchmark data and synthetic data show that our approach increases the accuracy of camera trajectories and geometric models estimated from range video produced by consumer-grade cameras.

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Cite

Text

Zhou and Koltun. "Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras." Conference on Computer Vision and Pattern Recognition, 2014. doi:10.1109/CVPR.2014.65

Markdown

[Zhou and Koltun. "Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras." Conference on Computer Vision and Pattern Recognition, 2014.](https://mlanthology.org/cvpr/2014/zhou2014cvpr-simultaneous/) doi:10.1109/CVPR.2014.65

BibTeX

@inproceedings{zhou2014cvpr-simultaneous,
  title     = {{Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras}},
  author    = {Zhou, Qian-Yi and Koltun, Vladlen},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2014},
  doi       = {10.1109/CVPR.2014.65},
  url       = {https://mlanthology.org/cvpr/2014/zhou2014cvpr-simultaneous/}
}