Dataset Traversal with Motion-Controlled Transfer Functions

Abstract

In scientific visualization, it is often necessary to manipulate transfer functions in order to visualize datasets more effectively. This manipulation of transfer functions is usually performed globally, i.e., a new transfer function is applied to the entire dataset. Our approach allows one to locally manipulate transfer functions while controling its movement along a traversal path. The method we propose allows the user to select a traversal path within the dataset, based on the shape of the volumetric model and manipulate a transfer function along this path.
Examples of dataset traversal include the animation of transfer functions along a pre-defined path, the simulation of flow in vascular structures, and the visualization of convoluted shapes. For example, this type of traversal is often used in medical illustration to highlight flow in blood vessels.

Paper

Carlos D. Correa and Deborah Silver. Dataset Traversal with Motion-Controlled Transfer Functions. Proceedings of IEEE Visualization 2005. Minneapolis, Min. 23-28 Oct. 2005, pp. 359-366.
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Source Code | NEW |

volEdit-2.5 (380 KB)
Example data (3 MB)

Vis '05 Presentation

PDF (750KB) | PPT (4.3MB)

New Video (Oct. 2005)

MPG hi-res (43 MB)
WMV hi-res (30 MB)
WMV lo-res (9 MB)

Video (Apr. 2005)

WMV hi-res (8 MB)

Additional Files

	Simultaneous Traversal and Manipulation of Aneurism (WMV - 2MB)
	Traversal Guided Fisheye Lens (WMV - 857KB)
	Traversal Guided Fisheye Lens of Losbter (WMV - 474KB)
	Aneurism example (WMV - 1.6MB)
	Shorter video (WMV - 12MB)

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