项目作者: verlab

项目描述 :
Towards an efficient 3D model estimation methodology for aerial and ground images
高级语言:
项目地址: git://github.com/verlab/structure_from_motion_MVA2017.git
创建时间: 2017-10-01T23:00:05Z
项目社区:https://github.com/verlab/structure_from_motion_MVA2017

开源协议:GNU General Public License v3.0

下载


structure_from_motion_MVA2017

Contact

Authors

Institution

Federal University of Minas Gerais (UFMG)
Computer Science Department
Belo Horizonte - Minas Gerais -Brazil

Laboratory

VeRLab

VeRLab: Laboratory of Computer Vison and Robotics
http://www.verlab.dcc.ufmg.br

Citation

If you are using it for academic purposes, please cite:

Potje, G., Resende, G., Campos, M., & Nascimento, E. R., Towards an efficient 3D model estimation methodology for aerial and ground images, in: Machine Vision and Applications, 2017, pp. 1-16. doi: 10.1007/s00138-017-0875-x.

Bibtex entry

@article{potje2017towards,
title={Towards an efficient 3D model estimation methodology for aerial and ground images},
author={Potje, Guilherme and Resende, Gabriel and Campos, Mario and Nascimento, Erickson R},
journal={Machine Vision and Applications},
pages={1—16},
year={2017},
publisher={Springer},
Doi = {10.1007/s00138-017-0875-x},
Url = {https://link.springer.com/article/10.1007/s00138-017-0875-x }
}