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Eurographics Symposium on Geometry Processing (2005) M. Desbrun, H. Pottmann (Editors)
 

Summary: Eurographics Symposium on Geometry Processing (2005)
M. Desbrun, H. Pottmann (Editors)
Surface Reconstruction from Noisy Point Clouds
Boris Mederos, Nina Amenta, Luiz Velho and Luiz Henrique de Figueiredo
University of California at Davis
IMPA - Instituto Nacional de Matematica Pura e Aplicada
Abstract
We show that a simple modification of the power crust algorithm for surface reconstruction produces correct
outputs in presence of noise. This is proved using a fairly realistic noise model. Our theoretical results are related
to the problem of computing a stable subset of the medial axis. We demostrate the effectiveness of our algorithm
with a number of experimental results.
Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Surface Reconstruction-
Medial AxisNoisy samples
1. Introduction
Surface reconstruction is an important problem in geometric
modeling. It has received a lot of attention in the computer
graphics community in recent years because of the develop-
ment of laser scanner technology and its wide applications
in areas such as reverse engineering, product design, medi-
cal appliance design and archeology, among others.

  

Source: Amenta, Nina - Department of Computer Science, University of California, Davis

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences