Automated Skeleton Transformations on 3D Tree Models Captured from an RGB Video

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dc.contributor.authorMichels, Jorenen_US
dc.contributor.authorMoonen, Stevenen_US
dc.contributor.authorGÜNEY, ENESen_US
dc.contributor.authorTemsamani, Abdellatif Beyen_US
dc.contributor.authorMichiels, Nicken_US
dc.contributor.editorCeylan, Duyguen_US
dc.contributor.editorLi, Tzu-Maoen_US
dc.date.accessioned2025-05-09T09:36:16Z
dc.date.available2025-05-09T09:36:16Z
dc.date.issued2025
dc.description.abstractA lot of work has been done surrounding the generation of realistically looking 3D models of trees. In most cases, L-systems are used to create variations of specific trees from a set of rules. While achieving good results, these techniques require knowledge of the structure of the tree to construct generative rules. We propose a system that can create variations of trees captured by a single RGB video. Using our method, plausible variations can be created without needing prior knowledge of the specific type of tree. This results in a fast and cost-efficient way to generate trees that resemble their real-life counterparts.en_US
dc.description.sectionheadersShort Paper 3
dc.description.seriesinformationEurographics 2025 - Short Papers
dc.identifier.doi10.2312/egs.20251043
dc.identifier.isbn978-3-03868-268-4
dc.identifier.issn1017-4656
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20251043
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egs20251043
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Image-based rendering; Reconstruction; Video segmentation; Mesh models
dc.subjectComputing methodologies → Image
dc.subjectbased rendering
dc.subjectReconstruction
dc.subjectVideo segmentation
dc.subjectMesh models
dc.titleAutomated Skeleton Transformations on 3D Tree Models Captured from an RGB Videoen_US
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