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Robust Shape Fitting and Semantic Enrichment

Ullrich, Torsten and Fellner, Dieter W. (2008):
Robust Shape Fitting and Semantic Enrichment.
p. 6, XXI CIPA Symposium 2007. Proceedings, [Conference or Workshop Item]

Abstract

A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy input data and outliers. Furthermore it should be capable of handling multiple data set mixtures. The decreasing exponential approach is robust towards outliers and multiple data set mixtures. It is able to fit a parametric model to a given point cloud. As parametric models use a description which may not only contain a generative shape but information about the inner structure of an object, the presented approach can enrich measured data with an ideal description. This technique offers a wide range of applications.

Item Type: Conference or Workshop Item
Erschienen: 2008
Creators: Ullrich, Torsten and Fellner, Dieter W.
Title: Robust Shape Fitting and Semantic Enrichment
Language: English
Abstract:

A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy input data and outliers. Furthermore it should be capable of handling multiple data set mixtures. The decreasing exponential approach is robust towards outliers and multiple data set mixtures. It is able to fit a parametric model to a given point cloud. As parametric models use a description which may not only contain a generative shape but information about the inner structure of an object, the presented approach can enrich measured data with an ideal description. This technique offers a wide range of applications.

Uncontrolled Keywords: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Algorithms, Classifications, Geometry, Mathematics, Point clouds, Reconstruction, Registration
Divisions: UNSPECIFIED
20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: XXI CIPA Symposium 2007. Proceedings
Date Deposited: 16 Apr 2018 09:03
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