Generalization of tiled models with curved surfaces using typification

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Guercke, Richard; Zhao, Junqiao; Brenner, Claus; Zhu, Qing: Generalization of tiled models with curved surfaces using typification. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Joint International Conference On Theory, Data Handling And Modelling In Geospatial Information Science] 38 (2010), Nr. Part 2, S. 39-44

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1128

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Sum total of downloads: 142




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Abstract: 
Especially for landmark buildings or in the context of cultural heritage documentation, highly detailed digital models are being created in many places. In some of these models, surfaces are represented by tiles which are individually modeled as solid shapes. In many applications, the high complexity of these models has to be reduced for more x efficient visualization and analysis. In our paper, we introduce an approach to derive versions at different scales from such a model through the generalization method of typification that works for curved underlying surfaces. Using the example of tiles placed on a curved roof - which occur, for example, very frequently in ancient Chinese architecture, the original set of tiles is replaced by fewer but bigger tiles while keeping a similar appearance. In the first step, the distribution of the central points of the tiles is approximated by a spline surface. This is necessary because curved roof surfaces cannot be approximated by planes at large scales. After that, the new set of tiles with less rows and/or columns is distributed along a spline surface generated from a morphing of the original surface towards a plane. The degree of morphing is dependent on the desired target scale. If the surface can be represented as a plane at the given resolution, the tiles may be converted to a bump map or a simple texture for visualization. In the final part, a perception-based method using CSF (contrast sensitivity function) is introduced to determine an appropriate LoD (level of detail) version of the model for a given viewing scenario (point of view and camera properties) at runtime.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 79 55.63%
2 image of flag of United States United States 23 16.20%
3 image of flag of China China 18 12.68%
4 image of flag of Hong Kong Hong Kong 6 4.23%
5 image of flag of Philippines Philippines 5 3.52%
6 image of flag of Nepal Nepal 2 1.41%
7 image of flag of Spain Spain 2 1.41%
8 image of flag of Vietnam Vietnam 1 0.70%
9 image of flag of Hungary Hungary 1 0.70%
10 image of flag of France France 1 0.70%
    other countries 4 2.82%

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