ML Anthology

Feature Matching in 360° Waveforms for Robot Navigation

Zhongfei Zhang, Richard S. Weiss, Edward M. Riseman
CVPR 1991 pp. 742-743
doi:10.1109/CVPR.1991.139809 /cvpr/1991/zhang1991cvpr-feature/

Abstract

A target location is represented by compressing a 360 degrees image from a spherical mirror into a circular waveform. Navigation tasks are specified as a sequence of homing tasks on target locations. This is accomplished by matching landmarks from the current view with the next target view. A method is provided for matching using qualitative geometric features of each of the waveforms. In addition, a geometric analysis allows one to do 3-D reasoning about the environment, which is sufficient for computing the rotation and translation between the current location and the target location. It eventually may allow acquisition of a 3-D model of the environment.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Zhang et al. "Feature Matching in 360° Waveforms for Robot Navigation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139809

Markdown

[Zhang et al. "Feature Matching in 360° Waveforms for Robot Navigation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/zhang1991cvpr-feature/) doi:10.1109/CVPR.1991.139809

BibTeX

@inproceedings{zhang1991cvpr-feature,
  title     = {{Feature Matching in 360° Waveforms for Robot Navigation}},
  author    = {Zhang, Zhongfei and Weiss, Richard S. and Riseman, Edward M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {742-743},
  doi       = {10.1109/CVPR.1991.139809},
  url       = {https://mlanthology.org/cvpr/1991/zhang1991cvpr-feature/}
}