Titre :	Three Dimensional Reconstruction of Botanical Trees with Simulatable Geometry
Type de document :	document électronique
Auteurs :	Ed Quigley, Auteur ; Yilin Zhu, Auteur ; Ronald Fedkiw, Auteur
Editeur :	arXiv
Année de publication :	December 2018
Importance :	16P.
Format :	PDF
ISBN/ISSN/EAN :	1812.08849
Note générale :	Eprint
Langues :	Anglais (eng)
Catégories :	580 Plantes
Tags :	botanical  trees  geometric  topological  Computer Science  Computer Vision  Pattern Recognition  botanique arbre  précision géométrique  précision topologique
Résumé :	We tackle the challenging problem of creating full andaccurate 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 avail-able
En ligne :	https://doi.org/10.48550/arXiv.1812.08849

Three Dimensional Reconstruction of Botanical Trees with Simulatable Geometry [document électronique] / Ed Quigley, Auteur ; Yilin Zhu, Auteur ; Ronald Fedkiw, Auteur . - arXiv, December 2018 . - 16P. ; PDF.
ISSN : 1812.08849
Eprint
Langues : Anglais (eng)

Catégories :	580 Plantes
Tags :	botanical  trees  geometric  topological  Computer Science  Computer Vision  Pattern Recognition  botanique arbre  précision géométrique  précision topologique
Résumé :	We tackle the challenging problem of creating full andaccurate 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 avail-able
En ligne :	https://doi.org/10.48550/arXiv.1812.08849