Overfitting Control for Surface Reconstruction
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Date
2006
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper proposes a general framework for overfitting control in surface reconstruction from noisy point data. The problem we deal with is how to create a model that will capture as much detail as possible and simultaneously avoid reproducing the noise of the input points. The proposed framework is based on extra-sample validation. It is fully automatic and can work in conjunction with any surface reconstruction algorithm. We test the framework with a Radial Basis Function algorithm, Multi-level Partition of Unity implicits, and the Power Crust algorithm.
Description
@inproceedings{:10.2312/SGP/SGP06/231-234,
booktitle = {Symposium on Geometry Processing},
editor = {Alla Sheffer and Konrad Polthier},
title = {{Overfitting Control for Surface Reconstruction}},
author = {Lee, Yunjin and Lee, Seungyong and Ivrissimtzis, Ioannis and Seidel, Hans-Peter},
year = {2006},
publisher = {The Eurographics Association},
ISSN = {1727-8384},
ISBN = {3-905673-24-X},
DOI = {/10.2312/SGP/SGP06/231-234}
}