Affiliation:
1. NVIDIA Corporation, Santa Clara, CA, USA
2. Stanford University, Stanford, CA, USA
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.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications
Cited by
2 articles.
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1. Learning to Simulate Tree-Branch Dynamics for Manipulation;IEEE Robotics and Automation Letters;2024-02
2. TreeSketchNet: From Sketch to 3D Tree Parameters Generation;ACM Transactions on Intelligent Systems and Technology;2023-03-24