Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Optimal Combination of Multi-resolution Models in Visualization Techniques

Authors
Xiaolong Yang, Hao Gu, Fengju Kang
Corresponding Author
Xiaolong Yang
Available Online October 2015.
DOI
10.2991/icmii-15.2015.137How to use a DOI?
Keywords
Multi-resolution model, Optimal combination, Visualization, Lagrange multiplier.
Abstract

Complex VR scenes, containing hundreds of multi-resolution models with millions polygons, cannot achieve real-time performance and verisimilitude at the same time. How to adaptively choose the appropriate level of resolutions according to the data volume and hardware/software environment is therefore a critical issue. This paper we propose an optimization algorithm to choose the model resolutions that maximize scene quality while meeting timing constraints. The mathematical model is given by means of the relationship between scene representation and model resolution. Lagrange multiplier method is used to solve the problem of extreme value solution under time constraints.

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 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
10.2991/icmii-15.2015.137How 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  - Xiaolong Yang
AU  - Hao Gu
AU  - Fengju Kang
PY  - 2015/10
DA  - 2015/10
TI  - Optimal Combination of Multi-resolution Models in Visualization Techniques
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 784
EP  - 789
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.137
DO  - 10.2991/icmii-15.2015.137
ID  - Yang2015/10
ER  -