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dc.contributor.authorLichtenberg, N.en_US
dc.contributor.authorLawonn, K.en_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-05-22T12:24:45Z
dc.date.available2020-05-22T12:24:45Z
dc.date.issued2020
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.13888
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13888
dc.description.abstractThe study of vascular structures, using medical 3D models, is an active field of research. Illustrative visualizations have been applied to this domain in multiple ways. Researchers made the geometric properties of vasculature more comprehensive and augmented the surface with representations of multivariate clinical data. Techniques that head beyond the application of colour‐maps or simple shading approaches require a surface parameterization, that is, texture coordinates, in order to overcome locality. When extracting 3D models, the computation of texture coordinates on the mesh is not always part of the data processing pipeline. We combine existing techniques to a simple parameterization approach that is suitable for tree‐like structures. The parameterization is done w.r.t. to a pre‐defined source vertex. For this, we present an automatic algorithm, that detects the tree root. The parameterization is partly done in screen‐space and recomputed per frame. However, the screen‐space computation comes with positive features that are not present in object‐space approaches. We show how the resulting texture coordinates can be used for varying hatching, contour parameterization, display of decals, as additional depth cues and feature extraction. A further post‐processing step based on parameterization allows for a segmentation of the structure and visualization of its tree topology.en_US
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectnon‐photorealistic rendering
dc.subjectrendering
dc.subjectscientific visualization
dc.subjectvisualization
dc.subject• Computing methodologies → Non‐photorealistic rendering
dc.subjectMesh geometry models
dc.titleParameterization, Feature Extraction and Binary Encoding for the Visualization of Tree‐Like Structuresen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersArticles
dc.description.volume39
dc.description.number1
dc.identifier.doi10.1111/cgf.13888
dc.identifier.pages497-510


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