Depth from Focusing and Defocusing

Abstract

The problem of obtaining depth information from focusing and defocusing is studied. In depth from focusing, instead of the Fibonacci search, which is often trapped in local maxima, the combination of Fibonacci search and curve fitting is proposed. This combination leads to an unprecedentedly accurate result. A model of the blurring effect that takes geometric blurring as well as imaging blurring into consideration in the calibration of the blurring model is proposed. In spectrogram-based depth from defocusing, a maximal resemblance estimation method is proposed to decrease or eliminate the window effect.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Xiong and Shafer. "Depth from Focusing and Defocusing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.340977

Markdown

[Xiong and Shafer. "Depth from Focusing and Defocusing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/xiong1993cvpr-depth/) doi:10.1109/CVPR.1993.340977

BibTeX

@inproceedings{xiong1993cvpr-depth,
  title     = {{Depth from Focusing and Defocusing}},
  author    = {Xiong, Yalin and Shafer, Steven A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {68-73},
  doi       = {10.1109/CVPR.1993.340977},
  url       = {https://mlanthology.org/cvpr/1993/xiong1993cvpr-depth/}
}