Towards L-System Captioning for Tree Reconstruction

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dc.contributor.authorMagnusson, Jannes S.en_US
dc.contributor.authorHilsmann, Annaen_US
dc.contributor.authorEisert, Peteren_US
dc.contributor.editorBabaei, Vahiden_US
dc.contributor.editorSkouras, Melinaen_US
dc.date.accessioned2023-05-03T06:02:49Z
dc.date.available2023-05-03T06:02:49Z
dc.date.issued2023
dc.description.abstractThis work proposes a novel concept for tree and plant reconstruction by directly inferring a Lindenmayer-System (L-System) word representation from image data in an image captioning approach. We train a model end-to-end which is able to translate given images into L-System words as a description of the displayed tree. To prove this concept, we demonstrate the applicability on 2D tree topologies. Transferred to real image data, this novel idea could lead to more efficient, accurate and semantically meaningful tree and plant reconstruction without using error-prone point cloud extraction, and other processes usually utilized in tree reconstruction. Furthermore, this approach bypasses the need for a predefined L-System grammar and enables species-specific L-System inference without biological knowledge.en_US
dc.description.sectionheadersProcedural Modeling and Reconstruction
dc.description.seriesinformationEurographics 2023 - Short Papers
dc.identifier.doi10.2312/egs.20231002
dc.identifier.isbn978-3-03868-209-7
dc.identifier.issn1017-4656
dc.identifier.pages9-12
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20231002
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20231002
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 → Shape representations; Reconstruction; Shape analysis; Neural networks
dc.subjectComputing methodologies → Shape representations
dc.subjectReconstruction
dc.subjectShape analysis
dc.subjectNeural networks
dc.titleTowards L-System Captioning for Tree Reconstructionen_US
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