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Surface Reconstruction
Wednesday, 30 July 2003
10:30 am - 12:15 pm
Room 14 A-B
Session Chair: Ioana M. Boier-Martin, IBM T.J. Watson Research Center
Spectral Watertight Surface Reconstruction
An eigenvector-based method for reconstructing a watertight surface from point-cloud data. This spectral method is particularly effective for noisy and undersampled point sets, because decisions about the reconstructed surface are based on a global view of the model.
Jonathan Shewchuk
Ravi Krishna Kolluri
James F. O'Brien
University of California, Berkeley
jrs@cs.berkeley.edu
Non-Convex Mesh Penetration Distance for Rigid-Body Dynamics
A new algorithm for finding the penetration distance between two non-convex meshes represented by bounding-volume trees.
Marek Teichmann
CMLabs Simulations, Inc.
Zhaoheng Liu
Université du Québec
Automated Meshing of Sparse 3D Point Clouds
A novel method using simulated annealing to create an optimal surface mesh by selecting a subset and triangulation of a point cloud that reliably represents the actual scene topology.
Oli Cooper
Neill Campbell
David Gibson
University of Bristol
oli.cooper@bristol.ac.uk
Casual 3D Photography
A lightweight, point-and-shoot 3D camera for reconstruction of smooth surfaces. The approach extracts 3D shape from a single image and is completely automatic.
Manuel M. Oliveira
Universidade Federal do Rio Grande do Sul
Instituto de Informática
oliveira@inf.ufrgs.br
Askold V. Strat
Symbol Technologies, Inc. and Stony Brook University
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