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Related Experiment Video

Updated: Nov 27, 2025

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

Viewpoint-Driven Simplification of Plant and Tree Foliage.

Cristina Gasch¹, Inmaculada Remolar¹, Miguel Chover¹

¹Institute of New Image Technologies, Universitat Jaume I, Castellón E-12071, Spain.

Entropy (Basel, Switzerland)

|December 3, 2020

Summary

This summary is machine-generated.

This study introduces a novel method for simplifying plant and tree geometry, enabling real-time visualization of outdoor scenes. The technique reduces computational load by intelligently pruning leaves while preserving a natural, leafy appearance.

Keywords:

geometric simplification mutual information vegetation visualization

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LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

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Published on: January 21, 2013

Area of Science:

Computer Graphics
Geometric Modeling
Real-time Rendering

Background:

Real-time visualization of outdoor scenes with complex foliage remains a challenge due to high polygon counts.
Existing methods like point- or image-based rendering do not always meet the geometry representation needs of interactive applications.

Purpose of the Study:

To develop a geometry simplification method for foliage that enables interactive visualization of trees and plants.
To reduce the number of primitives representing foliage without compromising visual quality.

Main Methods:

A viewpoint-driven, image-based simplification approach for foliage geometry.
Leaf pruning is guided by mutual information to determine the order of removal.
Error compensation by adjusting the size of adjacent leaves to maintain a natural appearance.

Main Results:

The proposed method effectively reduces the complexity of tree and plant canopies.
Interactive visualization of foliage is achieved with good quality and time performance.
The simplification avoids the unnatural, sparse appearance often seen in reduced-leaf models.

Conclusions:

The developed simplification method successfully addresses the challenge of real-time foliage visualization.
The technique preserves the visual fidelity of foliage through intelligent pruning and error compensation.
This approach facilitates interactive applications requiring detailed outdoor scene geometry.