FitTree: 3D Tree Mesh Models Reconstructed from Laser Point Clouds

2.3 GB of data files implementing a framework for generating high-fidelity 3D tree mesh models from laser point clouds. The dataset, authored by Hai Xu and associated with a 2026 journal article, includes code and outputs for a method that integrates data-driven and morphology-knowledge-driven techniques to address challenges like leaf occlusion and data gaps. It was last updated on 2026-05-18.

Use Cases

• Creating virtual tree assets for digital entertainment based on the described high-fidelity mesh models.
• Simulating forest environments in virtual geographic systems based on the accurate trunk and crown morphology.
• Conducting ecological studies on tree structure based on models derived from laser point cloud data.
• Benchmarking and improving point cloud reconstruction algorithms based on the provided implementation framework.

Strengths

• Dataset size is 2.3 GB, indicating a substantial collection of code and model files.
• The method is described as integrating data-driven and morphology-knowledge-driven techniques to improve accuracy.
• Associated with a peer-reviewed journal article (DOI: 10.1080/17538947.2026.2633848).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description focuses on methodology and acknowledgments, with limited details on the specific data contents.

Provenance

Source

figshare, author Hai Xu.

Collection Method

Likely contains outputs and implementation code from a novel framework for 3D tree reconstruction from point clouds.

Freshness

Last updated 2026-05-18 14:02:19; freshness should be verified.