H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 67 Citations 18,462 219 World Ranking 999 National Ranking 35

Research.com Recognitions

Awards & Achievements

2015 - Member of Academia Europaea

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Computer vision

His main research concerns Polygon mesh, Algorithm, Artificial intelligence, Computer vision and Computer graphics. His research integrates issues of Vertex, Theoretical computer science, Computer graphics and Volume mesh in his study of Polygon mesh. His Computer graphics research is multidisciplinary, relying on both Curvature, Data structure and Rendering.

His Algorithm research incorporates elements of Point cloud, Geometric modeling, Polygon, Mathematical optimization and Robustness. His Artificial intelligence study integrates concerns from other disciplines, such as Matching, Set, Character and Pattern recognition. His Triangle mesh research incorporates themes from T-vertices and Topology.

His most cited work include:

  • Efficient simplification of point-sampled surfaces (605 citations)
  • Interactive multi-resolution modeling on arbitrary meshes (597 citations)
  • Subdivision for modeling and animation (443 citations)

What are the main themes of his work throughout his whole career to date?

Leif Kobbelt mainly focuses on Polygon mesh, Algorithm, Artificial intelligence, Computer vision and Topology. His work carried out in the field of Polygon mesh brings together such families of science as Computer graphics, Geometric modeling and T-vertices. The study incorporates disciplines such as Parametrization, Subdivision, Surface, Mathematical optimization and Geometry processing in addition to Algorithm.

His biological study spans a wide range of topics, including Smoothing and Representation. Artificial intelligence connects with themes related to Pattern recognition in his study. His research on Computer vision frequently links to adjacent areas such as Robustness.

He most often published in these fields:

  • Polygon mesh (30.72%)
  • Algorithm (29.78%)
  • Artificial intelligence (25.71%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (25.71%)
  • Algorithm (29.78%)
  • Computer vision (21.63%)

In recent papers he was focusing on the following fields of study:

Leif Kobbelt focuses on Artificial intelligence, Algorithm, Computer vision, Surface and Polygon mesh. He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Pattern recognition and, in certain cases, Complex geometry and Medial axis. His study in Algorithm is interdisciplinary in nature, drawing from both Sampling, Geometry processing and Representation.

His research in the fields of Orientation, Tracking and Face overlaps with other disciplines such as Facial motion capture. His Surface research is multidisciplinary, incorporating perspectives in Mathematical optimization, Voronoi diagram, Geodesic and Genus. His work deals with themes such as Domain, Parametrization and Topology, which intersect with Polygon mesh.

Between 2015 and 2021, his most popular works were:

  • Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization (265 citations)
  • Improved surface quality in 3D printing by optimizing the printing direction (56 citations)
  • Sparse Data Driven Mesh Deformation (30 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Algorithm
  • Computer vision

His primary areas of study are Algorithm, Surface, Polygon mesh, Artificial intelligence and Representation. The Algorithm study combines topics in areas such as Parametrization and Volume. His studies deal with areas such as Principal curvature, Mathematical optimization, Feature and Topology as well as Surface.

His work on Domain expands to the thematically related Polygon mesh. Leif Kobbelt combines subjects such as Computer vision and Pattern recognition with his study of Artificial intelligence. His Representation study combines topics in areas such as Basis, Geometry processing and Sparse matrix.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Efficient simplification of point-sampled surfaces

Mark Pauly;Markus Gross;Leif P. Kobbelt.
ieee visualization (2002)

1183 Citations

Interactive multi-resolution modeling on arbitrary meshes

Leif Kobbelt;Swen Campagna;Jens Vorsatz;Hans-Peter Seidel.
international conference on computer graphics and interactive techniques (1998)

942 Citations

Subdivision for modeling and animation

Denis Zorin;P Schroder;A DeRose;L Kobbelt.
(2000)

731 Citations

Polygon Mesh Processing

Mario Botsch;Leif Kobbelt;Mark Pauly;Pierre Alliez.
(2010)

711 Citations

Feature sensitive surface extraction from volume data

Leif P. Kobbelt;Mario Botsch;Ulrich Schwanecke;Hans-Peter Seidel.
international conference on computer graphics and interactive techniques (2001)

687 Citations

Shape modeling with point-sampled geometry

Mark Pauly;Richard Keiser;Leif P. Kobbelt;Markus Gross.
international conference on computer graphics and interactive techniques (2003)

646 Citations

Fast image-based localization using direct 2D-to-3D matching

Torsten Sattler;Bastian Leibe;Leif Kobbelt.
international conference on computer vision (2011)

484 Citations

Mixed-integer quadrangulation

David Bommes;Henrik Zimmer;Leif Kobbelt.
international conference on computer graphics and interactive techniques (2009)

456 Citations

Interpolatory Subdivision on Open Quadrilateral Nets with Arbitrary Topology

Leif Kobbelt.
Computer Graphics Forum (1996)

442 Citations

A survey of point-based techniques in computer graphics

Leif Kobbelt;Mario Botsch.
Computers & Graphics (2004)

435 Citations

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Best Scientists Citing Leif Kobbelt

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