&lt;title&gt;Comprehensible volume LIC rendering based on 3D significance map&lt;/title&gt;

Chen, Li; Fujishiro, Issei; Suzuki, Yasuko

doi:10.1117/12.458781

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…The rendering of volumetric flow textures may be improved by using visibility-impeding 3D halos (Interrante and Grosch, 1998). Another direction is to enhance ROI selection using a significance map (Chen et al, 2001) that defines for each voxel a value of importance based on flow features (e.g., topological elements).…”

Section: Discussionmentioning

confidence: 99%

A texture-based hardware-independent technique for time-varying volume flow visualization

Liu

Moorhead

2005

J Vis

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Existing texture-based 3D flow visualization techniques, e.g., volume Line Integral Convolution (LIC), are either limited to steady flows or dependent on special-purpose graphics cards. In this paper we present a texture-based hardware-independent technique for time-varying volume flow visualization. It is based on our Accelerated Unsteady Flow LIC (AUFLIC) algorithm (Liu and Moorhead, 2005), which uses a flow-driven seeding strategy and a dynamic seeding controller to reuse pathlines in the value scattering process to achieve fast time-dependent flow visualization with high temporal-spatial coherence. We extend AUFLIC to 3D scenarios for accelerated generation of volume flow textures. To address occlusion, lack of depth cuing, and poor perception of flow directions within a dense volume, we employ magnitude-based transfer functions and cutting planes in volume rendering to clearly show the flow structure and the flow evolution.

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Section: Discussionmentioning

confidence: 99%

A texture-based hardware-independent technique for time-varying volume flow visualization

Liu

Moorhead

2005

J Vis

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“…As stated in Section 1, however, a naive direct volume rendering of LIC solid textures cannot produce useful projected images, since optical integration along viewing directions tends to spoil the coherent structures along 3D local streamlines. Therefore, we decided to adopt a selective approach to LIC volume rendering [3,4]. We first rely on the intrinsic properties of a given 3D flow field to create a significance map (S-map), where regions containing interesting structures, such as vortices, are assigned higher significance values, whereas regions with little interesting detail are assigned lower significance values.…”

Section: D S-map Derivationmentioning

confidence: 99%

“…In our recent report [4], we extended the approach to 3D, and relied on a 3D streamline illumination model [1,16] to produce comprehensible volume LIC images.…”

Section: Introductionmentioning

confidence: 99%

Case study: hardware-accelerated selective LIC volume rendering

Сузуки¹,

Fujishiro²,

Chen³

et al.

IEEE Visualization, 2002. VIS 2002.

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Line Integral Convolution (LIC) is a promising method for visualizing 2D dense flow fields. Direct extensions of the LIC method to 3D have not been considered very effective, because optical integration in viewing directions tends to spoil the coherent structures along 3D local streamlines. In our previous reports, we have proposed a selective approach to volume rendering of LIC solid texture using 3D significance map (S-map), derived from the characteristics of flow structures, and a specific illumination model for 3D streamlines. In this paper, we take full advantage of scalar volume rendering hardware, such as VolumePro, to realize a realtime 3D flow field visualization environment with the LIC volume rendering method.

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Parallel Visualization of Large-scale Unstructured Geophysical Data for the Earth Simulator

Chen

Fujishiro

Nakajima

2004

Pure appl. geophys.

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A scalable and high-performance parallel visualization subsystem has been developed in GeoFEM for the Earth Simulator. As part of the Earth Simulator project in Japan, the proposed subsystem is effective for the visualization of large-scale geoscientific data, and can be concurrent with computation subsystems on the same high-performance parallel computer. Moreover, several parallel visualization methods are developed for large unstructured datasets, covering scalar, vector and tensor fields. Furthermore, a number of strategies are adopted in order to improve the parallel performance of the proposed subsystem for the Earth simulator, including the three-level hybrid parallelization and dynamic load balancing. Good visualization images and high parallel performance have been obtained on a Hitachi SR8000 for large unstructured geoscientific data sets, and thus demonstrating the feasibility and effectiveness of the proposed method for use on the Earth Simulator.

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<title>Comprehensible volume LIC rendering based on 3D significance map</title>

Cited by 5 publications

References 29 publications

A texture-based hardware-independent technique for time-varying volume flow visualization

A texture-based hardware-independent technique for time-varying volume flow visualization

Case study: hardware-accelerated selective LIC volume rendering

Parallel Visualization of Large-scale Unstructured Geophysical Data for the Earth Simulator

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