ML Anthology

Coregistration of Range and Optical Images Using Coplanarity and Orientation Constraints

Anthony N. A. Schwickerath, J. Ross Beveridge
CVPR 1996 pp. 899-906
doi:10.1109/CVPR.1996.517178 /cvpr/1996/schwickerath1996cvpr-coregistration/

Abstract

A least-squares method simultaneously solves for the model-to-sensor-suite pose and sensor-to-sensor registration. The development is for a sensor-suite containing separate range and optical sensors. To address outliers and, more generally, match finding, a statistical method (median filtering) and a search method (local search) are developed. Sensitivity to Gaussian noise and the choice of initial pose estimates is investigated on synthetic data. Both of the matching methods are demonstrated on real data.

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Cite

Text

Schwickerath and Beveridge. "Coregistration of Range and Optical Images Using Coplanarity and Orientation Constraints." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517178

Markdown

[Schwickerath and Beveridge. "Coregistration of Range and Optical Images Using Coplanarity and Orientation Constraints." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/schwickerath1996cvpr-coregistration/) doi:10.1109/CVPR.1996.517178

BibTeX

@inproceedings{schwickerath1996cvpr-coregistration,
  title     = {{Coregistration of Range and Optical Images Using Coplanarity and Orientation Constraints}},
  author    = {Schwickerath, Anthony N. A. and Beveridge, J. Ross},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {899-906},
  doi       = {10.1109/CVPR.1996.517178},
  url       = {https://mlanthology.org/cvpr/1996/schwickerath1996cvpr-coregistration/}
}