PLIC: bridging the gap between streamlines and LIC

Verma,; Kao,; Pang,

doi:10.1109/visual.1999.809906

Cited by 22 publications

(14 citation statements)

References 20 publications

(30 reference statements)

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“…To our best knowledge, there exist relatively few works that explore the possibilities of such a fusion approach. One notable exception is the work of Verma et al [21], which relates LIC to streamlines. They suggest the idea of a smooth transition from LIC images to streamline visualization and vice versa, and show that it can be achieved by mapping a 1D texture on a line to give a streamline visualization a more LIC-like look, and on the other hand, to make LIC look like streamlines they utilize a black image with few white texels as noise input.…”

Section: Previous Workmentioning

confidence: 99%

Dense flow visualization using wave interference

Matvienko¹,

Krüger

2012

2012 IEEE Pacific Visualization Symposium

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Dense flow visualization and streamlines are among the most popular methods in numerous applications of scientific visualization. Because very few works synthesize the benefits of these approaches into one framework, we propose a hybrid technique. In this work, we present a novel method of dense flow visualization that produces high contrast images (typical of streamline approaches), with manageable spatial frequency.We begin by introducing a notion of a streamline thickness function and thickness wave sources, and then compute the resulting image as a coherent wave interference pattern. We show that this problem is equivalent to finding the dominant eigenvector of a sparse matrix and employ the power iterations numerical scheme to demonstrate an efficient parallel implementation. We conclude by discussing possible quality improvement strategies and extensions of our method to other domains, including 3D flows.

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Section: Previous Workmentioning

confidence: 99%

Dense flow visualization using wave interference

Matvienko¹,

Krüger

2012

2012 IEEE Pacific Visualization Symposium

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“…Two of our underlying visualization techniques resemble some previous work. Our textured representation can be replaced by any of [10][11][12][13][14][15] and still accomplish a similar goal. Boring and Pang, 16 Johannsen and Moorhead, 17 and Kao 18 map velocity direction of a flow-field to a colormap.…”

Section: Related Workmentioning

confidence: 99%

Multivariate Visualization with Data Fusion

Wong

Foote

Kao

et al. 2002

Information Visualization

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We discuss a fusion-based visualization method to analyze a multivariate climate dataset and its metadata. The primary difference between a conventional visualization and a fusion-based visualization is that the former draws on a single image whereas the latter draws on multiple see-through layers, which are then overlaid on each other to form the final visualization. We propose optimized colormaps to highlight subtle features that would not be shown with conventional colormaps. We present fusion techniques that integrate multiple single-purpose visualization techniques into the same viewing space. Our highly flexible fusion approach allows scientists to explore multiple parameters concurrently by mixing and matching images without frequently reconstructing new visualizations from the data for every possible combination. Although our primary visualization application is climate modeling, we show with examples that our fundamental design -fusing layers of data images for multivariate visualization -can be generalized for other information visualization applications.

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“…Much work has been done on extending the usefulness, quality and efficiency of the original LIC method [2][3][4][5][6][7][8][9][10] . It has been especially successful for visualizing 2D vector fields.…”

Section: Introductionmentioning

confidence: 99%

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

2002

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Although texture-based methods provide a very promising way to visualize 3D vector fields, their dense 3D texture hinders the visualization of a 3D volume. In this paper, we introduce the concept of "3D significance map", and describe how significance values are derived from the intrinsic properties of a vector field. Based on the 3D significance map, we can control transfer functions for comprehensible LIC volume rendering by highlighting significant regions and neglecting insignificant information. We also present a 3D streamline illumination model that can reveal the flow direction embedded in a solid LIC texture. Experimental results illustrate the feasibility of our method.

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PLIC: bridging the gap between streamlines and LIC

Cited by 22 publications

References 20 publications

Dense flow visualization using wave interference

Dense flow visualization using wave interference

Multivariate Visualization with Data Fusion

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

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