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Semantic Fitting and Reconstruction

Ullrich, Torsten and Settgast, Volker and Fellner, Dieter W. (2008):
Semantic Fitting and Reconstruction.
In: ACM Journal on Computing and Cultural Heritage, p. 20, 1, (2), [Article]

Abstract

The current methods to describe the shape of three-dimensional objects can be classified into two groups: methods following the composition of primitives approach and descriptions based on procedural shape representations. As a 3D acquisition device returns an agglomeration of elementary objects (e.g. a laser scanner returns points), the model acquisition pipeline always starts with a composition of primitives. Due to the semantic information carried with a generative description, a procedural model provides valuable metadata that make up the basis for digital library services: retrieval, indexing, and searching. An important challenge in computer graphics in the field of cultural heritage is to build a bridge between the generative and the explicit geometry description combining both worlds-the accuracy and systematics of generative models with the realism and the irregularity of real-world data. A first step towards a semantically enriched data description is a reconstruction algorithm based on decreasing exponential fitting. This approach is robust towards outliers and multiple dataset mixtures. It does not need a preceding segmentation and is able to fit a generative shape template to a point cloud identifying the parameters of a shape.

Item Type: Article
Erschienen: 2008
Creators: Ullrich, Torsten and Settgast, Volker and Fellner, Dieter W.
Title: Semantic Fitting and Reconstruction
Language: English
Abstract:

The current methods to describe the shape of three-dimensional objects can be classified into two groups: methods following the composition of primitives approach and descriptions based on procedural shape representations. As a 3D acquisition device returns an agglomeration of elementary objects (e.g. a laser scanner returns points), the model acquisition pipeline always starts with a composition of primitives. Due to the semantic information carried with a generative description, a procedural model provides valuable metadata that make up the basis for digital library services: retrieval, indexing, and searching. An important challenge in computer graphics in the field of cultural heritage is to build a bridge between the generative and the explicit geometry description combining both worlds-the accuracy and systematics of generative models with the realism and the irregularity of real-world data. A first step towards a semantically enriched data description is a reconstruction algorithm based on decreasing exponential fitting. This approach is robust towards outliers and multiple dataset mixtures. It does not need a preceding segmentation and is able to fit a generative shape template to a point cloud identifying the parameters of a shape.

Journal or Publication Title: ACM Journal on Computing and Cultural Heritage
Volume: 1
Number: 2
Uncontrolled Keywords: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Computer aided geometric design (CAGD), Cultural heritage, Optimization, Algorithms, 3D Model reconstruction, Generative modeling, Procedural modeling
Divisions: UNSPECIFIED
20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 16 Apr 2018 09:03
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