GPU-assisted Multi-field Video Volume Visualization

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Date
2006
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
GPU-assisted multi-field rendering provides a means of generating effective video volume visualization that can convey both the objects in a spatiotemporal domain as well as the motion status of these objects. In this paper, we present a technical framework that enables combined volume and flow visualization of a video to be synthesized using GPU-based techniques. A bricking-based volume rendering method is deployed for handling large video datasets in a scalable manner, which is particularly useful for synthesizing a dynamic visualization of a video stream. We have implemented a number of image processing filters, and in particular, we employ an optical flow filter for estimating motion flows in a video. We have devised mechanisms for combining volume objects in a scalar field with glyph and streamline geometry from an optical flow. We demonstrate the effectiveness of our approach with example visualizations constructed from two benchmarking problems in computer vision.
Description

        
@inproceedings{
:10.2312/VG/VG06/047-054
, booktitle = {
Volume Graphics
}, editor = {
Raghu Machiraju and Torsten Moeller
}, title = {{
GPU-assisted Multi-field Video Volume Visualization
}}, author = {
Botchen, Ralf P.
and
Chen, Min
and
Weiskopf, Daniel
and
Ertl, Thomas
}, year = {
2006
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-8376
}, ISBN = {
3-905673-41-X
}, DOI = {
/10.2312/VG/VG06/047-054
} }
Citation