Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Research on Texture Mapping of Geological Models

Authors
Jixin Tan, Jianxun Chen
Corresponding Author
Jixin Tan
Available Online February 2017.
DOI
10.2991/emcm-16.2017.70How to use a DOI?
Keywords
Texture mapping; Geological models; Parameterize; Texture coordinates; Triangular facet
Abstract

Texture mapping of 3D models is an important problem in realistic graphics. However, there are few methods that are put forward to solve texture mapping of models constructed from nature scenes for the reason that those 3D models are difficult to parameterize to 2D. This paper proposes an algorithm for 3D geological models so that the texture on the side part will be well-balanced. This algorithm breaks the side part loop of 3D geological models along several edges, and unfolds the loop like a 2D plane so that the calculation of texture coordinates can be uncomplicated. At last, the algorithm is implemented and experiments are carried out to verify its effectiveness.

Copyright
© 2017, 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 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
10.2991/emcm-16.2017.70
ISSN
2352-538X
DOI
10.2991/emcm-16.2017.70How to use a DOI?
Copyright
© 2017, 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  - Jixin Tan
AU  - Jianxun Chen
PY  - 2017/02
DA  - 2017/02
TI  - Research on Texture Mapping of Geological Models
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.70
DO  - 10.2991/emcm-16.2017.70
ID  - Tan2017/02
ER  -