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One-shot structured light illumination based on shearlet transform.

Rui Gao, Xiaobing Zhao, Daniel L Lau

|November 22, 2024

Summary

This summary is machine-generated.

This study introduces a novel one-shot 3D reconstruction method using shearlet transform. It enhances accuracy in challenging areas, improving 3D point cloud quality for real-time scanning applications.

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Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Area of Science:

Computer Vision
Image Processing
Computational Imaging

Background:

Achieving both speed and accuracy in 3D reconstruction remains a significant challenge.
One-shot structured light illumination offers real-time scanning but often yields lower-quality 3D point clouds, particularly in areas with rapid height variations.

Purpose of the Study:

To develop an enhanced one-shot 3D reconstruction scheme that improves accuracy, especially in discontinuous regions.
To leverage the shearlet transform for combining spatial and frequency domain information to refine 3D point cloud quality.

Main Methods:

Application of shearlet transform to deformed fringe patterns to obtain transform coefficients.
Pixel-wise selection of indices corresponding to the largest magnitude coefficients to create a novel filter.
Global refocusing for phase extraction using the derived filters and generation of a quality map for phase unwrapping guidance.

Main Results:

The proposed method demonstrates robustness in discontinuous regions, leading to more accurate 3D point clouds.
A reliable quality map, generated from coefficient magnitudes and maximum coefficient values, effectively guides phase unwrapping.

Conclusions:

The shearlet transform-based one-shot reconstruction scheme successfully balances speed and accuracy in 3D reconstruction.
This approach significantly enhances the quality of 3D point clouds obtained from real-time scanning, particularly in complex terrains.