Advanced lighting for unstructured-grid data visualization

Min Shih; Yubo Zhang; Kwan-Liu Ma

doi:10.1109/PACIFICVIS.2015.7156383

Advanced lighting for unstructured-grid data visualization

Min Shih, Yubo Zhang, Kwan-Liu Ma

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

The benefits of using advanced illumination models in volume visualization have been demonstrated by many researchers. Interactive volume rendering incorporated with advanced lighting has been achieved with GPU acceleration for regular-grid volume data, making volume visualization even more appealing as a tool for 3D data exploration. This paper presents an interactive illumination strategy, which is specially designed and optimized for volume visualization of unstructured-grid data. The basis of the design is a partial differential equation based illumination model to simulate the light propagation, absorption, and scattering within the volumetric medium. In particular, a two-level scheme is introduced to overcome the challenges presented by unstructured grids. Test results show that the added illumination effects such as global shadowing and multiple scattering not only lead to more visually pleasing visualization, but also greatly enhance the perception of the depth information and complex spatial relationships for features of interest in the volume data. This volume visualization enhancement is introduced at a time when unstructured grids are becoming increasingly popular for a variety of scientific simulation applications.

Original language	English (US)
Title of host publication	2015 IEEE Pacific Visualization Symposium, PacificVis 2015 - Proceedings
Editors	Shigeo Takahashi, Shixia Liu, Gerik Scheuermann
Publisher	IEEE Computer Society
Pages	239-246
Number of pages	8
Volume	2015-July
ISBN (Electronic)	9781467368797
DOIs	https://doi.org/10.1109/PACIFICVIS.2015.7156383
State	Published - Jan 1 2015
Event	2015 8th IEEE Pacific Visualization Symposium, PacificVis 2015 - Hangzhou, China Duration: Apr 14 2015 → Apr 17 2015

Other

Other	2015 8th IEEE Pacific Visualization Symposium, PacificVis 2015
Country	China
City	Hangzhou
Period	4/14/15 → 4/17/15

Keywords

I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism - Color
I.3.8 [Computer Graphics]: Applications
shading
shadowing
texture

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Hardware and Architecture
Software

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Advanced lighting for unstructured-grid data visualization. / Shih, Min; Zhang, Yubo; Ma, Kwan-Liu.

2015 IEEE Pacific Visualization Symposium, PacificVis 2015 - Proceedings. ed. / Shigeo Takahashi; Shixia Liu; Gerik Scheuermann. Vol. 2015-July IEEE Computer Society, 2015. p. 239-246 7156383.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shih, M, Zhang, Y & Ma, K-L 2015, Advanced lighting for unstructured-grid data visualization. in S Takahashi, S Liu & G Scheuermann (eds), 2015 IEEE Pacific Visualization Symposium, PacificVis 2015 - Proceedings. vol. 2015-July, 7156383, IEEE Computer Society, pp. 239-246, 2015 8th IEEE Pacific Visualization Symposium, PacificVis 2015, Hangzhou, China, 4/14/15. https://doi.org/10.1109/PACIFICVIS.2015.7156383

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title = "Advanced lighting for unstructured-grid data visualization",

abstract = "The benefits of using advanced illumination models in volume visualization have been demonstrated by many researchers. Interactive volume rendering incorporated with advanced lighting has been achieved with GPU acceleration for regular-grid volume data, making volume visualization even more appealing as a tool for 3D data exploration. This paper presents an interactive illumination strategy, which is specially designed and optimized for volume visualization of unstructured-grid data. The basis of the design is a partial differential equation based illumination model to simulate the light propagation, absorption, and scattering within the volumetric medium. In particular, a two-level scheme is introduced to overcome the challenges presented by unstructured grids. Test results show that the added illumination effects such as global shadowing and multiple scattering not only lead to more visually pleasing visualization, but also greatly enhance the perception of the depth information and complex spatial relationships for features of interest in the volume data. This volume visualization enhancement is introduced at a time when unstructured grids are becoming increasingly popular for a variety of scientific simulation applications.",

keywords = "I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism - Color, I.3.8 [Computer Graphics]: Applications, shading, shadowing, texture",

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AB - The benefits of using advanced illumination models in volume visualization have been demonstrated by many researchers. Interactive volume rendering incorporated with advanced lighting has been achieved with GPU acceleration for regular-grid volume data, making volume visualization even more appealing as a tool for 3D data exploration. This paper presents an interactive illumination strategy, which is specially designed and optimized for volume visualization of unstructured-grid data. The basis of the design is a partial differential equation based illumination model to simulate the light propagation, absorption, and scattering within the volumetric medium. In particular, a two-level scheme is introduced to overcome the challenges presented by unstructured grids. Test results show that the added illumination effects such as global shadowing and multiple scattering not only lead to more visually pleasing visualization, but also greatly enhance the perception of the depth information and complex spatial relationships for features of interest in the volume data. This volume visualization enhancement is introduced at a time when unstructured grids are becoming increasingly popular for a variety of scientific simulation applications.

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KW - texture

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Advanced lighting for unstructured-grid data visualization

Abstract

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Keywords

ASJC Scopus subject areas

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