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3D Reconstruction of Fishes Using Coded Structured Light
Christos Veinidis1, Fotis Arnaoutoglou2, Dimitrios Syvridis1
1Optical Communications Laboratory, Department of Informatics and Telecommunications, University of Athens, 15784 Athens, Greece.
Journal of Imaging
|September 27, 2023
Summary
This study introduces a new 3D fish reconstruction method using Coded Structured Light. This technique accurately captures fish geometry for aquaculture applications.
Area of Science:
- Aquaculture
- Computer Vision
- Biotechnology
Background:
- Geometric measurements of fish are crucial for aquaculture.
- Existing 3D reconstruction methods may lack specificity for fish morphology.
Purpose of the Study:
- To present a novel Coded Structured Light (CSL) method for 3D fish reconstruction.
- To adapt 3D reconstruction techniques for fusiform fish body shapes.
Main Methods:
- Projecting a coded pattern onto fish surfaces.
- Decoding unique symbols in captured images for point correspondences.
- Utilizing symbol centroids for accurate 3D model generation.
Main Results:
- Successfully reconstructed 3D fish models with high accuracy.
- Demonstrated efficient symbol decoding and classification.
- Achieved precise geometric information extraction.
Conclusions:
- The CSL method provides accurate 3D fish reconstructions.
- The adapted methodology is effective for fusiform fish.
- This technique offers valuable geometric data for aquaculture.
