A Specialized Multibaseline Stereo Technique for Obstacle Detection

Abstract

This paper presents a multibaseline stereo technique specially suited to detecting obstacles. A method is described for weakly calibrating a set of multibaseline stereo cameras with high accuracy. This method is then used to tailor the stereo search space to the special case where the world in front of the cameras consists mainly of nearly horizontal planar surfaces (the ground), where we are interested in deviations from those planar surfaces (obstacles). The resulting disparity maps are presented and compared to the output of a traditional stereo algorithm.

Cite

Text

Williamson and Thorpe. "A Specialized Multibaseline Stereo Technique for Obstacle Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698615

Markdown

[Williamson and Thorpe. "A Specialized Multibaseline Stereo Technique for Obstacle Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/williamson1998cvpr-specialized/) doi:10.1109/CVPR.1998.698615

BibTeX

@inproceedings{williamson1998cvpr-specialized,
  title     = {{A Specialized Multibaseline Stereo Technique for Obstacle Detection}},
  author    = {Williamson, Todd and Thorpe, Charles E.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1998},
  pages     = {238-244},
  doi       = {10.1109/CVPR.1998.698615},
  url       = {https://mlanthology.org/cvpr/1998/williamson1998cvpr-specialized/}
}