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Uncertainty visualization using HDR volume rendering

delete2011-07-05
delete15
PRE
AI
V
Vijeth Dinesha
N
Neeharika Adabala
V
Vijay Natarajan *
DOI:10.1007/s00371-011-0614-7delete
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摘要

摘要

En 中文
In this paper, we explore a novel idea of using high dynamic range (HDR) technology for uncertainty visualization. We focus on scalar volumetric data sets where every data point is associated with scalar uncertainty. We design a transfer function that maps each data point to a color in HDR space. The luminance component of the color is exploited to capture uncertainty. We modify existing tone mapping techniques and suitably integrate them with volume ray casting to obtain a low dynamic range (LDR) image. The resulting image is displayed on a conventional 8-bits-per-channel display device. The usage of HDR mapping reveals fine details in uncertainty distribution and enables the users to interactively study the data in the context of corresponding uncertainty information. We demonstrate the utility of our method and evaluate the results using data sets from ocean modeling.
Keyword:
Uncertainty visualization
Transfer function design
Ray casting
Volume rendering
High dynamic range imaging
Tone mapping

期刊

Visual Computer 封面图
Visual Computer
IF:
2.9
论文数:
4.6K
被引数:
6.5K

机构

I
indian institute of science (iisc) - bangalore
学者数:
1.4W
论文数: 1.4W
被引数: 11
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