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Jonathan D. Korein

dblp:09/7004 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1985
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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
Rendering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
antialiasing
0.011983
Temporal anti-aliasing in computer generated animation · SIGGRAPH 1983
Rendering › antialiasing
temporal antialiasing
0.011983
Temporal anti-aliasing in computer generated animation · SIGGRAPH 1983
Rendering › temporal rendering
motion blur
0.011983
Temporal anti-aliasing in computer generated animation · SIGGRAPH 1983

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

supersampling · 0.0filtering · 0.0
YearPublicationVenuePosition
1985 Positioning and animating human figures in a task-oriented environment
Norman I. Badler, Jonathan D. Korein, James U. Korein, Gerald M. Radack, Lynne S. Brotman Karmin
Vis. Comput.2
1983 Temporal anti-aliasing in computer generated animation
abstract
The desirability of incorporating temporal anti-aliasing, or motion blur, into computer generated animation is discussed and two algorithms for achieving this effect are described. The first approximates continuous object movement and determines intervals during which each object covers each pixel. Hidden surface removal is then performed, allowing the calculation of visible object intensity functions and subsequent filtering. The second form of algorithm detailed involves supersampling the moving image and then filtering the resulting intensity function to “multiply-expose” each output picture. The effects of filter types and the relationship of the algorithms to forms of spatial anti-aliasing are discussed.
Jonathan D. Korein, Norman I. Badler
SIGGRAPH1