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Titolo:
Nonlinear multiresolution techniques with applications to scientific visualization in a haptic environment
Autore:
Asghar, MW; Barner, KE;
Indirizzi:
Qualicom Inc, San Diego, CA 92121 USA Qualicom Inc San Diego CA USA 92121Qualicom Inc, San Diego, CA 92121 USA Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA Univ DelawareNewark DE USA 19716 Elect & Comp Engn, Newark, DE 19716 USA
Titolo Testata:
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
fascicolo: 1, volume: 7, anno: 2001,
pagine: 76 - 93
SICI:
1077-2626(200101/03)7:1<76:NMTWAT>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
FILTERS;
Keywords:
visualization; haptics; multiresolution; wavelets; nonlinear filtering; blindness;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
43
Recensione:
Indirizzi per estratti:
Indirizzo: Asghar, MW Qualicom Inc, 5775 Morehouse Dr, San Diego, CA 92121 USA Qualicom Inc 5775 Morehouse Dr San Diego CA USA 92121 92121 USA
Citazione:
M.W. Asghar e K.E. Barner, "Nonlinear multiresolution techniques with applications to scientific visualization in a haptic environment", IEEE VIS C, 7(1), 2001, pp. 76-93

Abstract

This paper develops nonlinear multiresolution techniques for scientific visualization utilizing haptic methods. The visualization of data is criticalto many areas of scientific pursuit. Scientific visualization is generallyaccomplished through computer graphic techniques. Recent advances in haptic technologies allow visual techniques to be augmented with haptic methods. The kinesthetic feedback provided through haptic techniques provides a second modality for visualization and allows for active exploration. Moreover,haptic methods can be utilized by individuals with visual impairments. Haptic representations of large data sets, however, can be confusing to a user, especially if a visual representation is not available or cannot be used. Additionally, most haptic devices utilize point interactions, resulting ina low information bandwidth and further complicating data exploration. Multiresolution techniques can be utilized to address the issues of low information bandwidth and data complexity. Commonly used multiresolution techniques are based on the wavelet decomposition. Such linear techniques, however,tend to smooth important data features, such as discontinuities or edges. In contrast, nonlinear techniques can be utilized that preserve edge structures while removing fine data details. This paper develops a multiresolution data decomposition method based on the affine median filter. This resultsin a hybrid structure that can be tuned to yield a decomposition that varies from a linear wavelet decomposition to that produced by the median filter. The performance of this hybrid structure is analyzed utilizing deterministic signals and statistically in the frequency domain. This analysis and qualitative and quantitative implementation results show that the afiine median decomposition has advantages over previously proposed methods. In addition to multiresolution decomposition development, analysis, and results, haptic implementation methods are presented.

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Documento generato il 23/01/20 alle ore 03:25:23