Pyramid Based Depth from Focus
Abstract
A method is presented for depth recovery through the analysis of scene sharpness across changing focus position. Modeling a defocused image as the application of a low pass-filter on a properly focused image of the same scene, the authors can compare the high spatial frequency content of regions in each image and determine the correct focus position. Recovering depth in this manner is inherently a local operation, and can be done efficiently using a pipelined image processor. Laplacian and Gaussian pyramids are used to calculate maps which are collected and compared to find the focus position that maximizes high spatial frequencies for each region.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Darrell and Wohn. "Pyramid Based Depth from Focus." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196282Markdown
[Darrell and Wohn. "Pyramid Based Depth from Focus." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/darrell1988cvpr-pyramid/) doi:10.1109/CVPR.1988.196282BibTeX
@inproceedings{darrell1988cvpr-pyramid,
title = {{Pyramid Based Depth from Focus}},
author = {Darrell, Trevor and Wohn, Kwangyoen},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1988},
pages = {504-509},
doi = {10.1109/CVPR.1988.196282},
url = {https://mlanthology.org/cvpr/1988/darrell1988cvpr-pyramid/}
}