Texture Defragmentation for Photo-Reconstructed 3D Models

dc.contributor.authorMaggiordomo, Andreaen_US
dc.contributor.authorCignoni, Paoloen_US
dc.contributor.authorTarini, Marcoen_US
dc.contributor.editorMitra, Niloy and Viola, Ivanen_US
dc.date.accessioned2021-04-09T07:59:29Z
dc.date.available2021-04-09T07:59:29Z
dc.date.issued2021
dc.description.abstractWe propose a method to improve an existing parametrization (UV-map layout) of a textured 3D model, targeted explicitly at alleviating typical defects afflicting models generated with automatic photo-reconstruction tools from real-world objects. This class of 3D data is becoming increasingly important thanks to the growing popularity of reliable, ready-to-use photogrammetry software packages. The resulting textured models are richly detailed, but their underlying parametrization typically falls short of many practical requirements, particularly exhibiting excessive fragmentation and consequent problems. Producing a completely new UV-map, with standard parametrization techniques, and then resampling a new texture image, is often neither practical nor desirable for at least two reasons: first, these models have characteristics (such as inconsistencies, high resolution) that make them unfit for automatic or manual parametrization; second, the required resampling leads to unnecessary signal degradation because this process is unaware of the original texel densities. In contrast, our method improves the existing UV-map instead of replacing it, balancing the reduction of the map fragmentation with signal degradation due to resampling, while also avoiding oversampling of the original signal. The proposed approach is fully automatic and extensively tested on a large benchmark of photo-reconstructed models; quantitative evaluation evidences a drastic and consistent improvement of the mappings.en_US
dc.description.number2
dc.description.sectionheaders3D and Beyond
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.142615
dc.identifier.issn1467-8659
dc.identifier.pages65-78
dc.identifier.urihttps://doi.org/10.1111/cgf.142615
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf142615
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectTexturing
dc.subjectMesh models
dc.titleTexture Defragmentation for Photo-Reconstructed 3D Modelsen_US
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
v40i2pp065-078.pdf
Size:
60.84 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
texturedefragmentation.zip
Size:
2.73 MB
Format:
Zip file
Collections