Graphical Models - Special issue on SMI 2004
A flexible framework for surface reconstruction from large point sets
Computers and Graphics
Efficient Surface Reconstruction using Generalized Coulomb Potentials
IEEE Transactions on Visualization and Computer Graphics
The HybridTree: a hybrid constructive shape representation for free-form modeling
Heterogeneous objects modelling and applications
Octree subdivision using coplanar criterion for hierarchical point simplification
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
A dynamic surface reconstruction framework for large unstructured point sets
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
Feature-Preserving Surface Reconstruction and Simplification from Defect-Laden Point Sets
Journal of Mathematical Imaging and Vision
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In this paper, we introduce a flexible framework for the reconstruction of a surface from an unorganized point set, extending the geometric convection approach introduced by Chaine [9]. Given a dense input point cloud, we first extract a triangulated surface that interpolates a subset of the initial data. We compute this surface in an output sensitive manner by decimating the input point set on-the-fly during the reconstruction process. Our simplification procedure relies on a simple criterion that locally detects and reduces oversampling. If needed, we then operate in a dynamic fashion for local refinement or further simplification of the reconstructed surface. Our method allows to locally update the reconstructedsurface by inserting or removing sample points without restartingthe convection process from scratch. This iterative correctionprocess can be controlled interactively by the user or automatizedgiven some specific local sampling constraints.