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Tibor Steiner

dblp:29/1219 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 5Artificial intelligence and machine learning · 2

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
4 papers
Geometric modeling and processing · 100%
Artificial intelligence
2 papers
Image recognition and object detection · 54% 3D vision · 46%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
surface reconstruction		 0.122005
3D Shape Recognition and Reconstruction Based on Line Element Geometry · ICCV 2005
Reconstruction of piecewise planar objects from point clouds · Comput. Aided Des. 2004
Geometric modeling and processing › 3d reconstruction › 3d scene reconstruction
piecewise planar reconstruction		 0.012004
Reconstruction of piecewise planar objects from point clouds · Comput. Aided Des. 2004
Computer vision › Image recognition and object detection
shape recognition		 0.012005
3D Shape Recognition and Reconstruction Based on Line Element Geometry · ICCV 2005
Computer vision › 3D vision
point cloud		 0.012004
Reconstruction of piecewise planar objects from point clouds · Comput. Aided Des. 2004

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

RANSAC · 0.1PCA · 0.1geometric modeling · 0.1
YearPublicationVenuePosition
2007 Minkowski sum boundary surfaces of 3D-objects
Martin Peternell, Tibor Steiner
 Graph. Model.2
2005 3D Shape Recognition and Reconstruction Based on Line Element Geometry
abstract
This paper presents a new method for the recognition and reconstruction of surfaces from 3D data. Line element geometry, which generalizes both line geometry and the Laguerre geometry of oriented planes, enables us to recognize a wide class of surfaces (spiral surfaces, cones, helical surfaces, rotational surfaces, cylinders, etc.), by fitting linear subspaces in an appropriate seven-dimensional image space. In combination with standard techniques such as PCA and RANSAC, line element geometry is employed to effectively perform the segmentation of complex objects according to surface type. Examples show applications in reverse engineering of CAD models and testing mathematical hypotheses concerning the exponential growth of sea shells
Michael Hofer, Boris Odehnal, Helmut Pottmann, Tibor Steiner, Johannes Wallner 0001
 ICCV4
2005 Industrial geometry: recent advances and applications in CAD
Helmut Pottmann, Stefan Leopoldseder, Michael Hofer, Tibor Steiner, Wenping Wang 0001
 Comput. Aided Des.4
2004 The Isophotic Metric and Its Application to Feature Sensitive Morphology on Surfaces
Helmut Pottmann, Tibor Steiner, Michael Hofer, Christoph Haider, Allan Hanbury
 ECCV (4)2
2004 Reconstruction of piecewise planar objects from point clouds
Martin Peternell, Tibor Steiner
 Comput. Aided Des.2