Three Dimensional Reconstruction of Botanical Trees with Simulatable Geometry

Abstract

We 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.

Skeletonization via Local Separators

“…Several authors share our interest in reconstructing botanical trees by first computing a skeleton from images [QLZF18] or point clouds [LYO + 10, Pre12, GZLC19] and then reconstructing the tree surface from the skeleton.…”