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Robert Maas

dblp:94/3474 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
2 papers
Image and video processing · 70% Virtual and augmented reality · 30%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › depth perception
binocular disparity		 0.011999
Area-Based Computation of Stereo Disparity with Model-Based Window Size Selection · CVPR 1999
Image and video processing › multiscale analysis › multiresolution analysis
scale-space analysis		 0.011999
Pseudo-Linear Scale-Space Theory · Int. J. Comput. Vis. 1999
Image and video processing › stereo vision
stereo matching		 0.011999
Area-Based Computation of Stereo Disparity with Model-Based Window Size Selection · CVPR 1999
Image and video processing
image representation		 0.011999
Pseudo-Linear Scale-Space Theory · Int. J. Comput. Vis. 1999

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

model-based reasoning · 0.0affine deformable windows · 0.0
YearPublicationVenuePosition
1999 Area-Based Computation of Stereo Disparity with Model-Based Window Size Selection
abstract
In direct area-based stereo problems occur if there is a significant local deformation between the two images, and at borders of objects. We propose a correlation method with affine deformable windows in which an optimal window size is selected using model-based reasoning. Two criteria for the window size selection are studied and the resulting algorithms are applied to a random dot pair, an autostereogram and Hoff's fruit pair. The results are found to be both accurate and robust.
Robert Maas, Bart M. ter Haar Romeny, Max A. Viergever
 CVPR1
1999 Pseudo-Linear Scale-Space Theory
Luc Florack, Robert Maas, Wiro J. Niessen
 Int. J. Comput. Vis.2