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.

Plant phenotyping relevance

ドローンRGB画像から樹木の点群・メッシュ・幾何モデルを構築する植物形態計測パイプラインが研究の中心であり、再利用可能なデータも公開している。

Code and data availability

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

No evidence-backed public reproduction asset is currently recorded.