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">&gt;</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.1992.223183

Markdown

[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.1992.223183

BibTeX

@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/}
}