Sensor Planning for a Trinocular Active Vision System

Abstract

We present an algorithm to solve the sensor planning problem for a trinocular, active vision system. This algorithm uses an iterative optimization method to first solve for the translation between the three cameras and then uses this result to solve for parameters such as pan, tilt angles of the cameras and zoom setting.

Cite

Text

Lehel et al. "Sensor Planning for a Trinocular Active Vision System." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.784649

Markdown

[Lehel et al. "Sensor Planning for a Trinocular Active Vision System." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/lehel1999cvpr-sensor/) doi:10.1109/CVPR.1999.784649

BibTeX

@inproceedings{lehel1999cvpr-sensor,
  title     = {{Sensor Planning for a Trinocular Active Vision System}},
  author    = {Lehel, Peter and Hemayed, Elsayed E. and Farag, Aly A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {2306-2312},
  doi       = {10.1109/CVPR.1999.784649},
  url       = {https://mlanthology.org/cvpr/1999/lehel1999cvpr-sensor/}
}