Texture hardware assisted rendering of time-varying volume data

Lum, Eric B.; Ma, Kwan‐Liu; Clyne, John

doi:10.1109/visual.2001.964520

Cited by 54 publications

(37 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A major energy release was defined as an event that emerged at the surface in an area of nearly 10 km in radius with accelerations of 350 gal and larger. They pointed out that major energy releases happened at 11,14,15,16,18,19,20,21,23,27,29,30,32,34,43, and 50 seconds from origin time. Some of the major energy releases were from adjacent active faults triggered by the bursts of extensive energy releases of the mainshock.…”

Section: Visualization Of Field-measured Seismic Datamentioning

confidence: 99%

“…Formerly, Kruger and Westermann [8] presented a GPUbased ray caster implemented in the fragment shader with early termination and empty space skipping features. Another example, Lum et al [11] presented a GPU-based volume rendering technique for interactive visualization of the time-varying volume data. In their design, a palette-based decoding technique was developed to fully utilize the texture mapping capability.…”

Section: Direct Volume Rendering Of Wave-field Volumementioning

confidence: 99%

See 1 more Smart Citation

Visualizing field-measured seismic data

Hsieh

Chen

2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

View full text Add to dashboard Cite

This paper presents visualization of field-measured, time-varying multidimensional earthquake accelerograph readings. Direct volume rendering is used to depict the space-time relationships of seismic readings collected from sensor stations in an intuitive way such that the progress of seismic wave propagation of an earthquake event can be directly observed. The resulting visualization reveals the sequence of seismic wave initiation, propagation, attenuation over time, and energy releasing events. We provide a case study on the magnitude scale M w 7.6 Chi-Chi earthquake in Taiwan, which is the most thoroughly recorded earthquake event ever in the history. More than 400 stations recorded this event, and the readings from this event increased global strong-motion records five folds. Each station measured east-west, north-south, and vertical component of acceleration for approximately 90 seconds. The sensor network released the initial raw data within minutes after the ChiChi mainshock. It is essential to have a visualization system for fast data exploring and analyzing, offering crucial visual analytical information for scientists to make quick judgments. Raw data requires preprocessing before it can be rendered. We generated a sequence of ground-motion wave-field maps of 350 × 200 regular grid covers the entire Taiwan island from the sensor network readings. The result is a total of 1000 ground-motion wave-field maps with 0.1 second interval, forming a 1000 × 350 × 200 volume data set. We show that visualizing the time-varying component of the data spatially uncovers the changing features hidden in the data.

show abstract

Section: Visualization Of Field-measured Seismic Datamentioning

confidence: 99%

Section: Direct Volume Rendering Of Wave-field Volumementioning

confidence: 99%

Visualizing field-measured seismic data

Hsieh

Chen

2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

View full text Add to dashboard Cite

show abstract

“…The advent of texture hardware algorithms [2,5] and special hardware like the VolumePro [14] make possible interactive volume rendering which is very attractive to many disciplines. While previous volume visualization algorithms were mostly designed for looking at one volume at a time or for animating time-varying volume data [11]. the ability to simultaneously visualize multiple volumes becomes increasingly desirable for many application areas.…”

Section: Introductionmentioning

confidence: 99%

Interactive Multi-volume Visualization

Wilson

Lum

2002

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. This paper is concerned with simultaneous visualization of two or more volumes, which may be from different imaging modalities or numerical simulations for the same subject of study. The main visualization challenge is to establish visual correspondences while maintaining distinctions among multiple volumes. One solution is to use different rendering styles for different volumes. Interactive rendering is required so the user can choose with ease an appropriate rendering style and its associated parameters for each volume. Rendering efficiency is maximized by utilizing commodity graphics cards. We demonstrate our preliminary results with two case studies.

show abstract

“…In addition to the large-data problem which is being addressed by high-performance computing [4,5,6,9], two fundamental visualization problems must be solved. One is the problem of visualizing very dense point data (i.e.…”

Section: Introductionmentioning

confidence: 99%

Advanced Visualization Technology for Terascale Particle Accelerator Simulations

Schussman²,

Wilson³

et al. 2002

ACM/IEEE SC 2002 Conference (SC'02)

View full text Add to dashboard Cite

This paper presents two new hardware-assisted rendering techniques developed for interactive visualization of the terascale data generated from numerical modeling of nextgeneration accelerator designs. The first technique, based on a hybrid rendering approach, makes possible interactive exploration of large-scale particle data from particle beam dynamics modeling. The second technique, based on a compact texture-enhanced representation, exploits the advanced features of commodity graphics cards to achieve perceptually effective visualization of the very dense and complex electromagnetic fields produced from the modeling of reflection and transmission properties of open structures in an accelerator design. Because of the collaborative nature of the overall accelerator modeling project, the visualization technology developed is for both desktop and remote visualization settings. We have tested the techniques using both timevarying particle data sets containing up to one billion particles per time step and electromagnetic field data sets with millions of mesh elements.

show abstract

Texture hardware assisted rendering of time-varying volume data

Cited by 54 publications

References 14 publications

Visualizing field-measured seismic data

Visualizing field-measured seismic data

Interactive Multi-volume Visualization

Advanced Visualization Technology for Terascale Particle Accelerator Simulations

Contact Info

Product

Resources

About