Robust and Efficient Photo-Consistency Estimation for Volumetric 3D Reconstruction
Abstract
Estimating photo-consistency is one of the most important ingredients for any 3D stereo reconstruction technique that is based on a volumetric scene representation. This paper presents a new, illumination invariant photo-consistency measure for high quality, volumetric 3D reconstruction from calibrated images. In contrast to current standard methods such as normalized cross-correlation it supports unconstrained camera setups and non-planar surface approximations. We show how this measure can be embedded into a highly efficient, completely hardware accelerated volumetric reconstruction pipeline by exploiting current graphics processors. We provide examples of high quality reconstructions with computation times of only a few seconds to minutes, even for large numbers of cameras and high volumetric resolutions.
Cite
Text
Hornung and Kobbelt. "Robust and Efficient Photo-Consistency Estimation for Volumetric 3D Reconstruction." European Conference on Computer Vision, 2006. doi:10.1007/11744047_14Markdown
[Hornung and Kobbelt. "Robust and Efficient Photo-Consistency Estimation for Volumetric 3D Reconstruction." European Conference on Computer Vision, 2006.](https://mlanthology.org/eccv/2006/hornung2006eccv-robust/) doi:10.1007/11744047_14BibTeX
@inproceedings{hornung2006eccv-robust,
title = {{Robust and Efficient Photo-Consistency Estimation for Volumetric 3D Reconstruction}},
author = {Hornung, Alexander and Kobbelt, Leif},
booktitle = {European Conference on Computer Vision},
year = {2006},
pages = {179-190},
doi = {10.1007/11744047_14},
url = {https://mlanthology.org/eccv/2006/hornung2006eccv-robust/}
}