Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015

Research on 3D modeling technology of large scale scene based on 3ds Max

Authors
Li Wang
Corresponding Author
Li Wang
Available Online November 2015.
DOI
10.2991/iccet-15.2015.278How to use a DOI?
Keywords
3ds Max; 3D modeling
Abstract

In large scenes, the types and quantities of objects are many, and the shapes are different. In the process of using 3ds Max to construct the large scale scene, if the modeling method is inappropriate, it will not only produce the problem of model points, the number of faces and the decrease of the degree of fidelity, but also can affect the size of the model file, rendering and running speed. This paper discusses how to select the appropriate modeling technology of 3ds Max, and take the Shanxi Datong University as an example to discuss the application of modeling technology in practice, in order to provide a reference for the three-dimensional modeling of large scenes.

Copyright
© 2015, 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 5th International Conference on Civil Engineering and Transportation 2015
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
10.2991/iccet-15.2015.278
ISSN
2352-5401
DOI
10.2991/iccet-15.2015.278How to use a DOI?
Copyright
© 2015, 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  - Li Wang
PY  - 2015/11
DA  - 2015/11
TI  - Research on 3D modeling technology of large scale scene based on 3ds Max
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 1493
EP  - 1496
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.278
DO  - 10.2991/iccet-15.2015.278
ID  - Wang2015/11
ER  -