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.1999.784649Markdown
[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.1999.784649BibTeX
@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/}
}