Ullrich, Torsten ; Settgast, Volker ; Fellner, Dieter W. (2008)
Semantic Fitting and Reconstruction.
In: ACM Journal on Computing and Cultural Heritage, 1 (2)
Article, Bibliographie
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 ; Settgast, Volker ; Fellner, Dieter W. |
| Type of entry: | Bibliographie |
| Title: | Semantic Fitting and Reconstruction |
| Language: | English |
| Date: | 2008 |
| Journal or Publication Title: | ACM Journal on Computing and Cultural Heritage |
| Volume of the journal: | 1 |
| Issue Number: | 2 |
| 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. |
| 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: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 16 Apr 2018 09:03 |
| Last Modified: | 04 Feb 2022 12:41 |
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