Single Plane Model Extension Using Projective Transformations and Data Fusion
Abstract
A priori knowledge of the relative positions of four or more coplanar points or lines is used to derive the positions of other points and lines on the same plane in a manner invariant to camera location and intrinsic camera parameters. A framework for data fusion in the projective plane is presented to merge the position estimates of coplanar points and lines derived in this way.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Collins. "Single Plane Model Extension Using Projective Transformations and Data Fusion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223183Markdown
[Collins. "Single Plane Model Extension Using Projective Transformations and Data Fusion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/collins1992cvpr-single/) doi:10.1109/CVPR.1992.223183BibTeX
@inproceedings{collins1992cvpr-single,
title = {{Single Plane Model Extension Using Projective Transformations and Data Fusion}},
author = {Collins, Robert T.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1992},
pages = {752-754},
doi = {10.1109/CVPR.1992.223183},
url = {https://mlanthology.org/cvpr/1992/collins1992cvpr-single/}
}