Automated Skeleton Transformations on 3D Tree Models Captured from an RGB Video
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
A 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.
Description
CCS Concepts: Computing methodologies → Image-based rendering; Reconstruction; Video segmentation; Mesh models
@inproceedings{10.2312:egs.20251043,
booktitle = {Eurographics 2025 - Short Papers},
editor = {Ceylan, Duygu and Li, Tzu-Mao},
title = {{Automated Skeleton Transformations on 3D Tree Models Captured from an RGB Video}},
author = {Michels, Joren and Moonen, Steven and GÜNEY, ENES and Temsamani, Abdellatif Bey and Michiels, Nick},
year = {2025},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-268-4},
DOI = {10.2312/egs.20251043}
}