Robust Focus Ranging

Abstract

Depth maps obtained from focus ranging can have numerous errors and distortions due to edge bleeding, feature shifts, image noise, and field curvature. An improved algorithm that examines an initial high depth-of-field image of the scene to identify regions susceptible to edge bleeding and image noise is given. Focus evaluation windows are adapted to local image content and optimize the tradeoff between spatial resolution and noise sensitivity. An elliptical paraboloid field curvature model is used to reduce range distortion in peripheral image areas. Spatio-temporal tracking compensates for image feature shifts. The result is a sparse but reliable depth map.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Nair and Stewart. "Robust Focus Ranging." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223258

Markdown

[Nair and Stewart. "Robust Focus Ranging." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/nair1992cvpr-robust/) doi:10.1109/CVPR.1992.223258

BibTeX

@inproceedings{nair1992cvpr-robust,
  title     = {{Robust Focus Ranging}},
  author    = {Nair, Hari N. and Stewart, Charles V.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {309-314},
  doi       = {10.1109/CVPR.1992.223258},
  url       = {https://mlanthology.org/cvpr/1992/nair1992cvpr-robust/}
}