A Variational Approach to Shape from Defocus
Abstract
We address the problem of estimating the three-dimensional shape and radiance of a surface in space from images obtained with different focal settings. We pose the problem as an infinite-dimensional optimization and seek for the global shape of the surface by numerically solving a partial differential equation (PDE). Our method has the advantage of being global (so that regularization can be imposed explicitly), efficient (we use level set methods to solve the PDE), and geometrically correct (we do not assume a shift-invariant imaging model, and therefore are not restricted to equifocal surfaces).
Cite
Text
Jin and Favaro. "A Variational Approach to Shape from Defocus." European Conference on Computer Vision, 2002. doi:10.1007/3-540-47967-8_2Markdown
[Jin and Favaro. "A Variational Approach to Shape from Defocus." European Conference on Computer Vision, 2002.](https://mlanthology.org/eccv/2002/jin2002eccv-variational/) doi:10.1007/3-540-47967-8_2BibTeX
@inproceedings{jin2002eccv-variational,
title = {{A Variational Approach to Shape from Defocus}},
author = {Jin, Hailin and Favaro, Paolo},
booktitle = {European Conference on Computer Vision},
year = {2002},
pages = {18-30},
doi = {10.1007/3-540-47967-8_2},
url = {https://mlanthology.org/eccv/2002/jin2002eccv-variational/}
}