ML Anthology

Robot Localization Using Uncalibrated Camera Invariants

Michael Werman, MaoLin Qiu, Subhashis Banerjee, Sumantra Dutta Roy
CVPR 1999 pp. 2353-2359
doi:10.1109/CVPR.1999.784658 /cvpr/1999/werman1999cvpr-robot/

Abstract

We describe a set of image measurements which are invariant to the camera internals but arelocation variant. We show that using these measurements it is possible to calculate the self-localization of a robot using known landmarks and uncalibratedcameras. We also show that it is possible to compute, using uncalibrated cameras, the Euclidean structure of 3D world points using multiple views from known positions. We arefree to alter the internal parameters of the camera during these operations. Our initial experiments demonstrate the applicability of the method.

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Text

Werman et al. "Robot Localization Using Uncalibrated Camera Invariants." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.784658

Markdown

[Werman et al. "Robot Localization Using Uncalibrated Camera Invariants." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/werman1999cvpr-robot/) doi:10.1109/CVPR.1999.784658

BibTeX

@inproceedings{werman1999cvpr-robot,
  title     = {{Robot Localization Using Uncalibrated Camera Invariants}},
  author    = {Werman, Michael and Qiu, MaoLin and Banerjee, Subhashis and Roy, Sumantra Dutta},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {2353-2359},
  doi       = {10.1109/CVPR.1999.784658},
  url       = {https://mlanthology.org/cvpr/1999/werman1999cvpr-robot/}
}