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Mark Hartner

dblp:69/1616 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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
Rendering · 87% Visualization and visual analytics · 13%

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

TopicWeightPapersLastEvidence papers
Rendering
non-photorealistic rendering
0.012003
Illustrative Interactive Stipple Rendering · IEEE Trans. Vis. Comput. Graph. 2003
Rendering › non-photorealistic rendering
stippling
0.012003
Illustrative Interactive Stipple Rendering · IEEE Trans. Vis. Comput. Graph. 2003
Visualization and visual analytics
scientific visualization
0.012003
Illustrative Interactive Stipple Rendering · IEEE Trans. Vis. Comput. Graph. 2003

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

point list generation · 0.0feature enhancement · 0.0
YearPublicationVenuePosition
2003 Illustrative Interactive Stipple Rendering
abstract
Simulating hand-drawn illustration can succinctly express information in a manner that is communicative and informative. We present a framework for an interactive direct stipple rendering of volume and surface-based objects. By combining the principles of artistic and scientific illustration, we explore several feature enhancement techniques to create effective, interactive visualizations of scientific and medical data sets. We also introduce a rendering mechanism that generates appropriate point lists at all resolutions during an automatic preprocess and modifies rendering styles through different combinations of these feature enhancements. The new system is an effective way to interactively preview large, complex volume and surface data sets in a concise, meaningful, and illustrative manner. Stippling is effective for many applications and provides a quick and efficient method to investigate both volume and surface models.
Aidong Lu, Christopher J. Morris 0001, Joe Taylor, David S. Ebert, Charles D. Hansen, Penny Rheingans, Mark Hartner
IEEE Trans. Vis. Comput. Graph.7