ML Anthology

Ego-Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras

An-Ting Tsao, Chiou-Shann Fuh, Yi-Ping Hung, Yong-Sheng Chen
CVPR 1997 pp. 457-462
doi:10.1109/CVPR.1997.609365 /cvpr/1997/tsao1997cvpr-ego/

Abstract

In this paper, we consider a multi-camera vision system mounted on a moving object in a static three-dimensional environment. By using the motion flow fields seen by all of the cameras, an algorithm which does not need to solve the point-correspondence problem among the cameras is proposed to estimate the 3D ego-motion parameters of the moving object. Our experiments have shown that using multiple optical flow fields obtained from different cameras can be very helpful for ego-motion estimation.

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Cite

Text

Tsao et al. "Ego-Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609365

Markdown

[Tsao et al. "Ego-Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/tsao1997cvpr-ego/) doi:10.1109/CVPR.1997.609365

BibTeX

@inproceedings{tsao1997cvpr-ego,
  title     = {{Ego-Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras}},
  author    = {Tsao, An-Ting and Fuh, Chiou-Shann and Hung, Yi-Ping and Chen, Yong-Sheng},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {457-462},
  doi       = {10.1109/CVPR.1997.609365},
  url       = {https://mlanthology.org/cvpr/1997/tsao1997cvpr-ego/}
}