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Titolo:
Extended specifications and test data sets for data level comparisons of direct volume rendering algorithms
Autore:
Kim, K; Wittenbrink, CM; Pang, A;
Indirizzi:
Elect Data Syst Corp, Unigraph Div, Cypress, CA 90630 USA Elect Data Syst Corp Cypress CA USA 90630 raph Div, Cypress, CA 90630 USA NVISIA, Santa Clara, CA 95050 USA NVISIA Santa Clara CA USA 95050NVISIA, Santa Clara, CA 95050 USA Univ Calif Santa Cruz, Dept Comp Sci, Santa Cruz, CA 95064 USA Univ Calif Santa Cruz Santa Cruz CA USA 95064 i, Santa Cruz, CA 95064 USA
Titolo Testata:
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
fascicolo: 4, volume: 7, anno: 2001,
pagine: 299 - 317
SICI:
1077-2626(200110/12)7:4<299:ESATDS>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Keywords:
metrics; opacity; gradient; surface classification; volume visualization; image quality; uncertainty visualization;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
33
Recensione:
Indirizzi per estratti:
Indirizzo: Kim, K Elect Data Syst Corp, Unigraph Div, 10824 Hope St, Cypress, CA 90630 USA Elect Data Syst Corp 10824 Hope St Cypress CA USA 90630 A 90630 USA
Citazione:
K. Kim et al., "Extended specifications and test data sets for data level comparisons of direct volume rendering algorithms", IEEE VIS C, 7(4), 2001, pp. 299-317

Abstract

Direct volume rendering (DVR) algorithms do riot generate intermediate geometry to create a visualization, yet they produce countless variations in the resulting images. Therefore, comparative studies are essential for objective interpretation. Even though image and data level comparison metrics are available, it is still difficult to compare results because of the numerous rendering parameters and algorithm specifications involved. Most of the previous comparison methods use information from the final rendered images only. We overcome limitations of image level comparisons with our data level approach using intermediate rendering information. We provide a list of rendering parameters and algorithm specifications to guide comparison studies. We extend Williams and Uselton's rendering parameter list with algorithmspecification items and provide guidance on how to compare algorithms. Real data are often too complex to study algorithm variations with confidence. Most of the analytic test data sets reported are often useful only for a limited feature of DVR algorithms. We provide simple and easily reproducibletest data sets, a checkerboard and a ramp, that can make clear differencesin a wide range of algorithm variations. With data level metrics, our testdata sets make it possible to perform detailed comparison studies. A number of examples illustrate how to use these tools.

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Documento generato il 16/02/20 alle ore 23:47:13