Structure from Motion for Scenes Without Features
Abstract
We describe an algorithm for reconstructing the 3D (three-dimensional) shape of the scene and the relative pose of a number of cameras from a collection of images under the assumption that the scene does not contain photometrically distinct "features". We work under the explicit assumption that the scene is made of a number of smooth surfaces that radiate constant energy isotropically in all directions, and setup a region-based cost functional that we minimize using local gradient flow techniques.
Cite
Text
Yezzi and Soatto. "Structure from Motion for Scenes Without Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211399Markdown
[Yezzi and Soatto. "Structure from Motion for Scenes Without Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/yezzi2003cvpr-structure/) doi:10.1109/CVPR.2003.1211399BibTeX
@inproceedings{yezzi2003cvpr-structure,
title = {{Structure from Motion for Scenes Without Features}},
author = {Yezzi, Anthony J. and Soatto, Stefano},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2003},
pages = {525-532},
doi = {10.1109/CVPR.2003.1211399},
url = {https://mlanthology.org/cvpr/2003/yezzi2003cvpr-structure/}
}