Parameterization and Feature Extraction for the Visualization of Tree-like Structures

dc.contributor.authorLichtenberg, Nilsen_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.editorPuig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pauen_US
dc.date.accessioned2018-09-19T15:19:36Z
dc.date.available2018-09-19T15:19:36Z
dc.date.issued2018
dc.description.abstractThe study and visualization of vascular structures, using 3D models obtained from medical data, is an active field of research. Illustrative visualizations have been applied to this domain in multiple ways. Researchers have tried to make the geometric properties of vasculature more comprehensive and to augment the surface with representations of multivariate clinical data. Techniques that head beyond the application of color-maps or simple shading approaches require a sort of surface parameterization, i.e., 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, yet effective, 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 root of a tree-structure. 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, the display of decals, as an additional depth cue and feature extraction.en_US
dc.description.sectionheadersSurfaces
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20181240
dc.identifier.isbn978-3-03868-056-7
dc.identifier.issn2070-5786
dc.identifier.pages145-155
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20181240
dc.identifier.urihttps://doi.org/10.2312/vcbm.20181240
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectNon
dc.subjectphotorealistic rendering
dc.subjectMesh geometry models
dc.titleParameterization and Feature Extraction for the Visualization of Tree-like Structuresen_US
Files
Original bundle
Now showing 1 - 3 of 3
Loading...
Thumbnail Image
Name:
145-155.pdf
Size:
14.95 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
code.zip
Size:
2.1 MB
Format:
Zip file
No Thumbnail Available
Name:
draft1.mp4
Size:
69.91 MB
Format:
Unknown data format