Efficient focus+context visual exploration of volume datasets

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dc.contributor.authorCampos, Jordien_US
dc.contributor.authorPuig, Annaen_US
dc.contributor.authorTost, Danien_US
dc.contributor.editorPere Brunet and Nuno Correia and Gladimir Baranoskien_US
dc.date.accessioned2014-01-31T18:53:37Z
dc.date.available2014-01-31T18:53:37Z
dc.date.issued2006en_US
dc.description.abstractWe propose a hierarchical representation of volume data sets based on a user-given definition of features. The model is general and it can be used for various types of feature definitions such as rendering queries, topological skeletons and property-based classification. We use this model to interactively select features of the volume and to render them providing focus+context information. In addition, our model provides a mechanism to index directly the feature voxels, therefore it considerably speeds up rendering.en_US
dc.description.seriesinformationSIACG 2006: Ibero-American Symposium in Computer Graphicsen_US
dc.identifier.isbn3-905673-60-6en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/siacg/siacg06/079-087en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image generation- Display algorithms; I.3.6 [Computer Graphics]: Methodology and techniques - Graphics data structures and data types H.5.2 [Information interfaces and presentation]: User interfaces- Theory and methodsen_US
dc.titleEfficient focus+context visual exploration of volume datasetsen_US
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