Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

An Introduction to Viewpoint Selection in Volume Visualization

Authors
Xinli Xu, Bing He
Corresponding Author
Xinli Xu
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.682How to use a DOI?
Keywords
viewpoint selection, volume rendering, viewpoint entropy, jensen-shannon entropy.
Abstract
Scientific researches are always accompanied with a large number of complex data. Thus, it is important to view and analysis these data or objects in a much more efficient way. Viewpoint selection can improve both the speed of rendering and the efficiency of data understanding, became a hot topic in research, and is applied to various research areas. Viewpoint selection considerably influences the amount of information contained in the projected images, has been extensively studied in many areas such as: volume rendering, image-based modeling, object recognition, etc. most of the studies utilizing the information theoretical framework. This paper reviews the relevant literatures on this topic by summarizing the development and application of the technology, and put forward some ideas for future development.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xinli Xu
AU  - Bing He
PY  - 2013/03
DA  - 2013/03
TI  - An Introduction to Viewpoint Selection in Volume Visualization
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2736
EP  - 2740
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.682
DO  - https://doi.org/10.2991/iccsee.2013.682
ID  - Xu2013/03
ER  -