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Related Experiment Video

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Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
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All-around 3D plant modeling system using multiple images and its composition.

Nobuo Kochi1, Atsushi Hayashi1, Yota Shinohara1

  • 1National Agriculture and Food Research Organization, Tokyo 105-0003, Japan.

Breeding Science
|September 1, 2022
PubMed
Summary

We created a 3D plant modeling system using images for non-destructive, contactless plant measurement. This improved Structure from Motion/Multi-View-Stereo (SfM-MVS) method enables accurate 3D plant reconstruction from simple camera images.

Keywords:
3D modelingcameraimagemeasurementmulti-viewphotogrammetry

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Area of Science:

  • Plant science
  • Computer vision
  • Photogrammetry

Background:

  • Accurate, non-destructive plant measurement is crucial for research.
  • Existing methods may be invasive or limited in scope.
  • Image-based 3D modeling offers a flexible alternative.

Purpose of the Study:

  • To develop an all-around 3D plant modeling system using images.
  • To enable non-destructive, contactless plant measurement and analysis.
  • To validate the accuracy of the developed system.

Main Methods:

  • Developed an improved Structure from Motion/Multi-View-Stereo (SfM-MVS) algorithm.
  • Utilized commercially available hardware and software for flexibility.
  • Employed multiple camera configurations for diverse plant sizes.

Main Results:

  • Achieved accurate 3D reconstruction of plants from simple image capture.
  • Demonstrated the system's capability for plants ranging from millimeters to 2.4 meters.
  • Validated the accuracy of the generated 3D models and point clouds.

Conclusions:

  • The image-based SfM-MVS system provides a versatile and accurate solution for 3D plant modeling.
  • Non-destructive, contactless measurement is feasible across a wide range of plant scales.
  • The developed system facilitates detailed observation, measurement, and analysis of plant structures.