Improved gradient estimation methods for rendering of volume data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG38__%2F03%3A00000897" target="_blank" >RIV/60162694:G38__/03:00000897 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improved gradient estimation methods for rendering of volume data
Original language description
The paper presents two methods that improve gradient estimation in 3D voxel space. The gradient estimation is an important step in rendering and shading to obtain realistic and smooth final images of visualized objects. The most used gradient estimationmethods: gray-level gradient methods, Z-buffer gradient methods and binary gradient methods produce artifacts that appear as dark areas and staircase structures in a final image. To deal with the problem two new methods for gradient estimation are suggested, the reverse gradient method and the angle difference method. The new methods where tested and compared with other gradient estimation methods. Measurements, which have been made on both the data and image levels, have shown that both developed methods improved the quality of volume data rendering. In all tested cases, the mean absolute error was less than 1% and the maximal error less than 10%.
Czech name
Zlepšení metod určení gradientu u renderování objemových dat
Czech description
Zlepšení metod určení gradientu u renderování objemových dat
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WSCG ' 2003 - the 11th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2003
ISBN
80-903100-2-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
61-64
Publisher name
Západočeská univerzita
Place of publication
Plzeň
Event location
Plzeň
Event date
Feb 3, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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