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3D Point Cloud Verification and Scatter Removal Using a Dual Camera/Projector Setup.

Jens T Thielemann¹, Jostein Thorstensen¹

¹SINTEF AS, 0373 Oslo, Norway.

Sensors (Basel, Switzerland)

|December 11, 2025

Summary

This summary is machine-generated.

This study presents a new method for accurate 3D imaging in turbid water by distinguishing true measurements from false ones caused by scattering. This improves underwater robotics and 3D data reliability.

Keywords:

3D imaging scattering media subsea imaging

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Area of Science:

Robotics
Computer Vision
Optical Engineering

Background:

Scattering in turbid water creates false 3D measurements, limiting underwater robotics.
Uncertain object boundaries from scattering reduce the usefulness of 3D imaging data.
Existing 3D imaging methods struggle with accuracy in challenging underwater conditions.

Purpose of the Study:

To develop a robust method for precise 3D imaging in turbid water.
To eliminate false 3D measurements caused by light scattering.
To enhance the reliability of 3D data for underwater robotic applications.

Main Methods:

Utilized triangulation-based 3D imaging principles.
Analyzed camera/projector geometries and projected patterns for scattering discrimination.
Developed an efficient O(1) algorithm for real-time false measurement identification.

Main Results:

Achieved a 50-100x reduction in false positive rates compared to single-camera systems.
Maintained a near-zero false negative rate across various turbidity levels.
Demonstrated significant robustness improvements for subsea 3D imaging systems.

Conclusions:

A combination of specific hardware, projected patterns, and algorithms enables reliable 3D imaging in turbid water.
The developed method significantly enhances the trustworthiness of subsea 3D imaging systems.
This advancement supports more complex and reliable underwater robotic operations.