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Tung Yuen Lau

dblp:137/2113 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
biomedical visualization
0.212013
A Lightweight Tangible 3D Interface for Interactive Visualization of Thin Fiber Structures · IEEE Trans. Vis. Comput. Graph. 2013
Personal fabrication and tangible interfaces
tangible interaction
0.212013
A Lightweight Tangible 3D Interface for Interactive Visualization of Thin Fiber Structures · IEEE Trans. Vis. Comput. Graph. 2013

Methods — techniques the papers use, named apart from their topics

stereoscopic display · 0.3depth sensing · 0.3centerline extraction · 0.3
YearPublicationVenuePosition
2013 A Lightweight Tangible 3D Interface for Interactive Visualization of Thin Fiber Structures
abstract
We present a prop-based, tangible interface for 3D interactive visualization of thin fiber structures. These data are commonly found in current bioimaging datasets, for example second-harmonic generation microscopy of collagen fibers in tissue. Our approach uses commodity visualization technologies such as a depth sensing camera and low-cost 3D display. Unlike most current uses of these emerging technologies in the games and graphics communities, we employ the depth sensing camera to create a fish-tank stereoscopic virtual reality system at the scientist's desk that supports tracking of small-scale gestures with objects already found in the work space. We apply the new interface to the problem of interactive exploratory visualization of three-dimensional thin fiber data. A critical task for the visual analysis of these data is understanding patterns in fiber orientation throughout a volume.The interface enables a new, fluid style of data exploration and fiber orientation analysis by using props to provide needed passive-haptic feedback, making 3D interactions with these fiber structures more controlled. We also contribute a low-level algorithm for extracting fiber centerlines from volumetric imaging. The system was designed and evaluated with two biophotonic experts who currently use it in their lab. As compared to typical practice within their field, the new visualization system provides a more effective way to examine and understand the 3D bioimaging datasets they collect.
Bret Jackson, Tung Yuen Lau, David Schroeder, Kimani C. Toussaint, Daniel F. Keefe
IEEE Trans. Vis. Comput. Graph.2