Scalable geometry processing for computer graphics applications

Simple item page
dc.contributor.authorMaggioli, Filippo
dc.date.accessioned2023-11-28T12:27:04Z
dc.date.available2023-11-28T12:27:04Z
dc.date.issued2023-09-11
dc.description.abstractThis thesis explores and investigates scalable solutions, grounded on geometry processing and differential geometry concepts, to different computer graphics tasks. My Ph.D. path gave me the opportunity to probe many research topics in the field of computer graphics, as well as delve into mathematical and computational problems. As a summary of my research activity, this thesis echoes my exploration, collecting results from different areas of computer graphics and computational geometry. From novel unified frameworks in spectral geometry to procedural texturing techniques, simulations, and matrix multiplication algorithms, all the discussed topics find their communion in the idea of providing geometry processing solutions made to scale for large volumes of data.en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3543918
dc.language.isoen_USen_US
dc.subjectGeometry processingen_US
dc.subjectSpectral geometryen_US
dc.subjectComputer graphicsen_US
dc.subjectNon-Euclidean spacesen_US
dc.titleScalable geometry processing for computer graphics applicationsen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Tesi_dottorato_Maggioli.pdf
Size:
126.83 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
2023