Mixed-integer quadrangulation
- D. Bommes, H. Zimmer, L. Kobbelt
- Computer ScienceInternational Conference on Computer Graphics and…
- 27 July 2009
A novel method for quadrangulating a given triangle mesh by constructing an as smooth as possible symmetric cross field satisfying a sparse set of directional constraints and computed a seamless globally smooth parametrization whose iso-parameter lines follow the cross field directions.
Efficient simplification of point-sampled surfaces
- Mark Pauly, M. Gross, L. Kobbelt
- Computer ScienceIEEE Visualization, . VIS .
- 27 October 2002
This work has implemented incremental and hierarchical clustering, iterative simplification, and particle simulation algorithms to create approximations of point-based models with lower sampling density, and shows how local variation estimation and quadric error metrics can be employed to diminish the approximation error.
Fast image-based localization using direct 2D-to-3D matching
- Torsten Sattler, B. Leibe, L. Kobbelt
- Computer ScienceVision
- 6 November 2011
This paper derives a direct matching framework based on visual vocabulary quantization and a prioritized correspondence search that efficiently handles large datasets and outperforms current state-of-the-art methods.
Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization
- Torsten Sattler, B. Leibe, L. Kobbelt
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 September 2017
This paper presents an approach for large scale image-based localization that is both efficient and effective and demonstrates that it offers the best combination of efficiency and effectiveness among current state-of-the-art approaches for localization.
Polygon Mesh Processing
- M. Botsch, L. Kobbelt, Mark Pauly, P. Alliez, B. Lévy
- Computer Science
- 7 October 2010
This chapter discusses the development of types of Repair Algorithms for Surface Definition and Properties Approximation andParameterization of a Triangulated Surface Barycentric Mapping.
Interpolatory Subdivision on Open Quadrilateral Nets with Arbitrary Topology
- L. Kobbelt
- Computer ScienceComputer graphics forum (Print)
- 1 August 1996
A simple interpolatory subdivision scheme for quadrilateral nets with arbitrary topology is presented which generates C1 surfaces in the limit and a simple device is presented to preserve the consistency of such adaptively refined nets.
Interactive multi-resolution modeling on arbitrary meshes
- L. Kobbelt, Swen Campagna, Jens Vorsatz, H. Seidel
- Computer ScienceInternational Conference on Computer Graphics and…
- 24 July 1998
This paper generalizes powerful multiresolution techniques to arbitrary triangle meshes without requiring subdivision connectivity to obtain very fast mesh smoothing algorithms which are able to reduce noise from a geometrically specified frequency band in a multi-resolution decomposition.
Subdivision for modeling and animation
- D. Zorin, P. Schröder, A. Derose, L. Kobbelt, A. Levin, W. Sweldens
- Computer Science
- 2000
A multiresolution representation for meshes based on subdivision is described, which is a natural extension of the existing patch-based surface representations, and a scalable interactive multiresolved editing system is built based on such algorithms.
Shape modeling with point-sampled geometry
- Mark Pauly, R. Keiser, L. Kobbelt, M. Gross
- Computer ScienceACM Transactions on Graphics
- 1 July 2003
A shape modeling system that enables the designer to perform large constrained deformations as well as boolean operations on arbitrarily shaped objects and shows that strict topology control is possible and sharp features can be generated and preserved on point-sampled objects.
Feature sensitive surface extraction from volume data
- L. Kobbelt, M. Botsch, Ulrich Schwanecke, H. Seidel
- Computer ScienceInternational Conference on Computer Graphics and…
- 1 August 2001
A new technique for surface extraction is presented that performs feature sensitive sampling and thus reduces these alias effects while keeping the simple algorithmic structure of the standard Marching Cubes algorithm.
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