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Area of Science:

Computer Graphics
Botanical Modeling
3D Reconstruction

Background:

Advances in high-resolution sensors and data processing enable detailed 3D tree datasets.
Versatile acquisition platforms facilitate multi-view imaging and scanned data for guided modeling.

Purpose of the Study:

To comprehensively review state-of-the-art methods for 3D botanical tree geometry modeling.
To classify and summarize existing approaches for realistic tree reconstruction from real-world data.

Main Methods:

Categorization of reconstruction methods into procedural reconstruction, geometry-based extraction, and image-based modeling.
Review of approaches incorporating additional features for realistic appearance.

Main Results:

Summary and classification of diverse 3D tree modeling techniques.
Identification of effective procedures for photorealistic tree modeling in geometry and appearance.

Conclusions:

Provides an overview of current effective procedures for 3D tree modeling.
Highlights promising research opportunities in 3D tree modeling using real-world data.