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Mesh Thingies

Wednesday, 3 August
10:30 am - 12:15 pm
Room 511AB
Session Chair: Hanspeter Pfister, Mitsubishi Electric Research Laboratories (MERL)

Unconstrained Spherical Parameterization

A simple modification makes traditional planar parameterization methods work on the sphere, without having to introduce additional distortion by specifying artificial constraints.

Ilja Friedel
California Institute of Technology
ilja (at)

Peter Schröder
Mathieu Desbrun
California Institute of Technology

Combining Metrics for Mesh Simplification and Parameterization

A mesh simplification strategy for generating polygonal meshes with well-shaped faces in the presence of constraints. This sketch introduces a novel combination of metrics to drive the simplification process.

Jordan Smith
IBM T.J. Watson Research Center
smithpj (at)

Ioana Boier-Martin IBM T.J. Watson Research Center

Streaming Compression of Triangle Meshes

This radical departure from the traditional approach to mesh compression proposes a scheme that incrementally encodes a mesh in the order vertices and triangles are given to the compressor.

Martin Isenburg
University of North Carolina at Chapel Hill
isenburg (at)

Peter Lindstrom
Lawrence Livermore National Laboratory

Jack Snoeyink
University of North Carolina at Chapel Hill

Predictive Point-Cloud Compression

A single-resolution compression technique for point clouds that can exploit fine-scale structures as they arise in 3D scans and resampled data.

Stefan Gumhold
Max-Planck-Institut für Informatik
gumhold (at)

Zachi Karni
Martin Isenburg
Hans-Peter Seidel
Max-Planck-Institut für Informatik