Smooth Surface Reconstruction from Noisy Clouds

Boris Mederos, Luiz Velho, Luiz Henrique de Figueiredo
IMPA - Instituto de Matemática Pura e Aplicada

Accepted in Journal of the Brazilian Computer Society.

Abstract. We describe a new method for surface reconstruction and smoothing based on unorganized noisy point clouds without normals. The output of the method is a refined triangular mesh that approximates the original point cloud while preserving the fine details present in the underlying surface. The method has five steps: noise removal, clustering, data reduction, initial reconstruction, and mesh refinement. All these steps contain novel features. We also present theoretical justifications for the heuristics used in the reconstruction step.


Images

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Head

Original data
Smoothed cloud
Clusters
Representatives
Initial triangulation
Initial triangulation
Refined model

Foot

Noisy data
Initial triangulation
Refined model

Dog

Noisy data
Initial triangulation
Refined model

Igea

Noisy data
Initial triangulation
Refined model

Dinousard

Noisy data
Initial triangulation
Refined model

Dragon

Noisy data
Initial triangulation
Refined model


Knot

Noisy data
Initial triangulation
Refined model


Last update: Wed Mar 17 10:32:50 BRT 2004