Title: | Accurate triangular regular network adjustment to large digital elevation models |
Authors: | Santana, José M. Trujillo, Augustín Suárez, José P. Ortega, Sebastián |
Citation: | WSCG 2017: full papers proceedings: 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 107-115. |
Issue Date: | 2017 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2017/!!_CSRN-2701.pdf http://hdl.handle.net/11025/29551 |
ISBN: | 978-80-86943-44-2 |
ISSN: | 2464–4617 (print) 2464–4625 (CD-ROM) |
Keywords: | trojúhelníkové pravidelné sítě;nastavení;digitální elevační model;úroveň detailu;terénní vizualizace |
Keywords in different language: | triangular regular networks;adjustment;digital elevation model;level of detail;terrain visualization |
Abstract: | Nowadays, large volumes of terrain data are available to use as Digital Elevation Models, from which coarser meshes can be progressively generated for visualization and other purposes. Previous studies compared different methods to adjust those meshes, concluding that no method performs the best for all kinds of terrain. In this work, a pipeline to accurately adjust TRNs to DEM is proposed. An initial approximation is calculated by solving a linear system from input data. Vertices with a major contribution to the global error of the mesh are then tuned using a local refinement algorithm. Experimentation shows that meshes adjusted using the proposed pipeline fit better the original DEM than ones generated using classic methods as linear interpolation for several benchmark elevation models. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2017: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Santana.pdf | Plný text | 1,67 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29551
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