Journal of Robotics, Networking and Artificial Life

Volume 6, Issue 3, December 2019, Pages 179 - 182

Modeling Virtual Reality Environment Based on SFM Method#

Authors
Jiwu Wang*, Chenyang Li, Shijie Yi, Zixin Li
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China
#

This work was supported by Project KMGY318002531.

*Corresponding author. Email: jwwang@bjtu.edu.cn; 17121244@bjtu.edu.cn
Corresponding Author
Jiwu Wang
Received 25 October 2018, Accepted 9 December 2018, Available Online 27 December 2019.
DOI
https://doi.org/10.2991/jrnal.k.191202.007How to use a DOI?
Keywords
Virtual reality, SFM method, modeling, unity
Abstract

Virtual Reality (VR) technology is widely used in digital cities, industrial simulation, training, etc. where the environment modeling is a necessary component. Comparing with the difficulty to build the three dimension (3D) environment with the conventional methods, the Structure from Motion (SFM) method is proposed in this paper. The modeling accuracy is studied by comparing with the real dimensions. The results show the SFM method can give a high precision reconstructed 3D model in a short time.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
6 - 3
Pages
179 - 182
Publication Date
2019/12
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.191202.007How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jiwu Wang
AU  - Chenyang Li
AU  - Shijie Yi
AU  - Zixin Li
PY  - 2019
DA  - 2019/12
TI  - Modeling Virtual Reality Environment Based on SFM Method#
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 179
EP  - 182
VL  - 6
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.191202.007
DO  - https://doi.org/10.2991/jrnal.k.191202.007
ID  - Wang2019
ER  -