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Joseph D. Mahsman

dblp:76/5817 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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
Virtual and augmented reality · 39% Visualization and visual analytics · 30% Image and video coding · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › image quality assessment
image fidelity
0.112008
VFire: Virtual Fire in Realistic Environments · VR 2008
Virtual and augmented reality
immersive visualization
0.112008
VFire: Virtual Fire in Realistic Environments · VR 2008
Visualization and visual analytics
scientific visualization
0.112008
VFire: Virtual Fire in Realistic Environments · VR 2008
Virtual and augmented reality › virtual environment
immersive environment
0.012008
VFire: Virtual Fire in Realistic Environments · VR 2008

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

user interaction · 0.1mathematical fire model · 0.1
YearPublicationVenuePosition
2010 Multi-Resolution Deformation in Out-of-Core Terrain Rendering
William E. Brandstetter III, Joseph D. Mahsman, Cody J. White, Sergiu M. Dascalu, Frederick C. Harris Jr.
CAINE2
2008 Scripted Artificially Intelligent Basic Online Tactical Simulation
Jesse D. Phillips, Roger V. Hoang, Joseph D. Mahsman, Matthew R. Sgambati, Sergiu M. Dascalu, Frederick C. Harris Jr.
CAINE3
2008 VFire: Virtual Fire in Realistic Environments
abstract
The destructive capacity of wildfires and the dangers and limitations associated with observing actual wildfires has led researchers to develop mathematical models in order to better understand their behavior; unfortunately, current two-dimensional visualization techniques make discerning driving forces of a fire difficult and restrict comprehension to the trained eye. VFire is an immersive wildfire visualization application that aims to ameliorate these problems. We discuss several recent enhancements made to VFire in order to not only increase the amount of meaningfully visualized data and visual fidelity but also improve user interaction.
Roger V. Hoang, Joseph D. Mahsman, David T. Brown, Michael Penick, Frederick C. Harris Jr., Timothy J. Brown
VR2