ML Anthology

A Matrix Based Method for Determining Depth from Focus

John Ens, Peter Lawrence
CVPR 1991 pp. 600-606
doi:10.1109/CVPR.1991.139760 /cvpr/1991/ens1991cvpr-matrix/

Abstract

The authors reveal some fundamental problems with inverse filtering: inaccuracies in finding the frequency-domain representation, windowing effects, and border effects. A general, matrix-based method using regularization that eliminates these problems is presented. The method is confirmed experimentally, with the results showing an RMS (root mean square) error of 1.3%.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Ens and Lawrence. "A Matrix Based Method for Determining Depth from Focus." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139760

Markdown

[Ens and Lawrence. "A Matrix Based Method for Determining Depth from Focus." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/ens1991cvpr-matrix/) doi:10.1109/CVPR.1991.139760

BibTeX

@inproceedings{ens1991cvpr-matrix,
  title     = {{A Matrix Based Method for Determining Depth from Focus}},
  author    = {Ens, John and Lawrence, Peter},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {600-606},
  doi       = {10.1109/CVPR.1991.139760},
  url       = {https://mlanthology.org/cvpr/1991/ens1991cvpr-matrix/}
}