On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery
Abstract
In this paper we want to start the discussion on whether image based 3-D modelling techniques can possibly be used to replace LIDAR systems for outdoor 3D data acquisition. Two main issues have to be addressed in this context: (i) camera calibration (internal and external) and (ii) dense multi-view stereo. To investigate both, we have acquired test data from outdoor scenes both with LIDAR and cameras. Using the LIDAR data as reference we estimated the ground-truth for several scenes. Evaluation sets are prepared to evaluate different aspects of 3D model building. These are: (i) pose estimation and multi-view stereo with known internal camera parameters; (ii) camera calibration and multi-view stereo with the raw images as the only input and (iii) multi-view stereo.
Cite
Text
Strecha et al. "On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587706Markdown
[Strecha et al. "On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/strecha2008cvpr-benchmarking/) doi:10.1109/CVPR.2008.4587706BibTeX
@inproceedings{strecha2008cvpr-benchmarking,
title = {{On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery}},
author = {Strecha, Christoph and von Hansen, Wolfgang and Van Gool, Luc and Fua, Pascal and Thoennessen, Ulrich},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2008},
doi = {10.1109/CVPR.2008.4587706},
url = {https://mlanthology.org/cvpr/2008/strecha2008cvpr-benchmarking/}
}