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Karsten Mühlmann

dblp:32/118 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none

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

Artificial intelligence and machine learning · 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.

Artificial intelligence
1 paper
3D vision · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
stereo vision
0.012002
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation · Int. J. Comput. Vis. 2002
Image and video processing
stereo image processing
0.012002
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation · Int. J. Comput. Vis. 2002

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

stereo matching · 0.1
YearPublicationVenuePosition
2002 Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation
Karsten Mühlmann, Dennis Maier, Jürgen Hesser, Reinhard Männer
Int. J. Comput. Vis.1