Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

3D Scene Reconstruction Using Multi-Sources Data

Authors
Mingder Yang, Hungyu Lin, Ilin Chan, Huiping Tsai, Yiping Chen
Corresponding Author
Mingder Yang
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.3How to use a DOI?
Keywords
3D scene reconstruction; image-based modeling (IBM); render; multi-sources
Abstract

This paper focuses on 3D scene reconstruction by various simulation methods and multi-sources data. 3D scene reconstruction is a tool to be able to analyze an area by rendering it in 3D. This is a research piece that looks at how different methods of modeling have different functions and applications. The case study takes place in the Chung Hsing Lake at National Chung Hsing University (NCHU) campus. The findings of this research indicate the variety of techniques and methods used can reconstruct a 3D scene successfully. This research may help people in the future gain a basic understanding of the concepts of 3D scene reconstruction and establish 3D scenes.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
978-94-6252-523-8
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.3How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mingder Yang
AU  - Hungyu Lin
AU  - Ilin Chan
AU  - Huiping Tsai
AU  - Yiping Chen
PY  - 2018/04
DA  - 2018/04
TI  - 3D Scene Reconstruction Using Multi-Sources Data
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 8
EP  - 11
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.3
DO  - 10.2991/cmsa-18.2018.3
ID  - Yang2018/04
ER  -