A study on textures and their perceptual visual dimensions as application for flexible and effective scientific visualization

Simple item page
dc.contributor.authorTaponecco, F.en_US
dc.contributor.editorS. Battiato and G. Gallo and F. Stancoen_US
dc.date.accessioned2014-01-27T16:20:42Z
dc.date.available2014-01-27T16:20:42Z
dc.date.issued2006en_US
dc.description.abstractThe use of textures is fundamental in several areas of Computer Graphics, Computer Vision and Image Processing. In this work, we focus on their main relevant attributes, in order to define and design textures as effective visual representations for use in scientific visualization. We concentrate on the problem of visualizing complex multivariate and multi-dimensional datasets as well as in synthesizing multi-fields and temporal evolution of vectorial datasets visualization. Textures features, such as directionality, color and shape are particularly suited for use in a synthesis algorithm, and they serve as effective seed primitives, which can incorporate many visual dimensions for intuitive and flexible data mapping and encoding. As special application, we propose a level-based visualization approach, with a special focus on systematic layering of information for scientific datasets.en_US
dc.description.seriesinformation4th Eurographics Italian Chapter Conferenceen_US
dc.identifier.isbn3-905673-58-4en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/ItalianChapConf2006/123-127en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generationen_US
dc.titleA study on textures and their perceptual visual dimensions as application for flexible and effective scientific visualizationen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
123-127.pdf
Size:
234.13 KB
Format:
Adobe Portable Document Format
Download
Collections
Italian Chapter Conference 2006