Three Dimensional Reconstruction of Botanical Trees with Simulatable\n 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.

Plant phenotyping relevance

ドローン画像から樹木の3次元形状・構造を再構成する手法とデータ公開が中心であり、植物の形態・樹冠構造を抽出する方法研究に該当する。

Code and data availability

The paper states that raw/processed data and reconstructions are made publicly available, but no authors' URL or repository is provided in the supplied blocks. The only URLs present (speedtree.com, agisoft.com) refer to third-party commercial tools, not paper-specific assets.

No evidence-backed public reproduction asset is currently recorded.