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dc.contributor.authorQuigley, Eden_US
dc.contributor.authorLin, Winnieen_US
dc.contributor.authorZhu, Yilinen_US
dc.contributor.authorFedkiw, Ronalden_US
dc.contributor.editorNarain, Rahul and Neff, Michael and Zordan, Victoren_US
dc.date.accessioned2022-02-07T13:32:35Z
dc.date.available2022-02-07T13:32:35Z
dc.date.issued2021
dc.identifier.issn2577-6193
dc.identifier.urihttps://doi.org/10.1145/3480146
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1145/3480146
dc.description.abstractWe tackle the challenging problem of creating full and accurate three dimensional reconstructions of botanical trees with the topological and geometric accuracy required for subsequent physical simulation, e.g. in response to wind forces. Although certain aspects of our approach would benefit from various improvements, our results exceed the state of the art especially in geometric and topological complexity and accuracy. Starting with two dimensional RGB image data acquired from cameras attached to drones, we create point clouds, textured triangle meshes, and a simulatable and skinned cylindrical articulated rigid body model. We discuss the pros and cons of each step of our pipeline, and in order to stimulate future research we make the raw and processed data from every step of the pipeline as well as the final geometric reconstructions publicly available.en_US
dc.publisherACMen_US
dc.subject3D reconstruction
dc.subjectsemantic segmentation
dc.subjectbotanical trees
dc.titleThree Dimensional Reconstruction of Botanical Trees with Simulatable Geometryen_US
dc.description.seriesinformationProceedings of the ACM on Computer Graphics and Interactive Techniques
dc.description.sectionheaderspapers
dc.description.volume4
dc.description.number3
dc.identifier.doi10.1145/3480146


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