GPU-assisted Multi-field Video Volume Visualization
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.
BibTeX
@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}
}
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}
}