ML Anthology

Temporal Surface Reconstruction

Joachim Heel
CVPR 1991 pp. 607-612
doi:10.1109/CVPR.1991.139761 /cvpr/1991/heel1991cvpr-temporal/

Abstract

An approach which allows an arbitrary structure estimation to be embedded into a recursive estimation process that incrementally improves a structure estimate with every new frame that becomes available is discussed. The approach is based on Bayesian estimation theory and the Kalman filter. The authors demonstrate how it may be applied to such domains as depth from motion and depth from shading.<<ETX>>

PDF CVPR Semantic Scholar

Cite

Text

Heel. "Temporal Surface Reconstruction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139761

Markdown

[Heel. "Temporal Surface Reconstruction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/heel1991cvpr-temporal/) doi:10.1109/CVPR.1991.139761

BibTeX

@inproceedings{heel1991cvpr-temporal,
  title     = {{Temporal Surface Reconstruction}},
  author    = {Heel, Joachim},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {607-612},
  doi       = {10.1109/CVPR.1991.139761},
  url       = {https://mlanthology.org/cvpr/1991/heel1991cvpr-temporal/}
}