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Related Experiment Video

Updated: Nov 25, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Refractive Two-View Reconstruction for Underwater 3D Vision.

François Chadebecq¹, Francisco Vasconcelos¹, René Lacher¹

¹Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK.

International Journal of Computer Vision

|December 21, 2020

Summary

This summary is machine-generated.

This study introduces a new method for underwater 3D reconstruction, addressing refractive distortion challenges. The approach enhances accuracy in camera pose and shape estimation for underwater imaging applications.

Keywords:

Flat refractive geometry Two-view Refractive Structure-from-Motion Underwater imaging

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Area of Science:

Computer Vision
Robotics
Optical Engineering

Background:

Underwater 3D reconstruction is complex due to light distortion.
Standard camera models fail in refractive environments, causing inaccurate estimations.
Existing refractive Structure-from-Motion methods are difficult to apply in practice.

Purpose of the Study:

To develop a novel two-view reconstruction method for underwater imaging.
To address the challenges of Refractive Structure-from-Motion with flat refractive interfaces.
To improve the accuracy of 3D geometry recovery in underwater applications.

Main Methods:

Adoption of a refractive camera model for underwater imaging systems.
Derivation and application of a refractive fundamental matrix.
Development of a novel two-view reconstruction technique based on the refractive fundamental matrix.

Main Results:

The proposed method accurately recovers 3D geometry from cameras in underwater environments.
Numerical properties were validated using synthetic data.
Demonstrated practical application in laboratory settings and fluid-immersed endoscopy.

Conclusions:

The novel method outperforms classic Structure-from-Motion approaches in underwater scenarios.
This work provides a practical solution for Refractive Structure-from-Motion with flat interfaces.
The developed technique enhances accuracy in underwater 3D shape and camera pose estimation.