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3D reconstruction of structured light fields based on point cloud adaptive repair for highly reflective surfaces
Applied Optics
|October 6, 2021
Summary
A new method uses structured light fields and point cloud repair for accurate 3D reconstruction of reflective surfaces. This technique enhances depth imaging quality without complex hardware.
Area of Science:
- Optics and Photonics
- Computer Vision
- 3D Imaging
Background:
- Reconstructing 3D surfaces, especially highly reflective ones, presents significant challenges in computer vision.
- Existing methods often struggle with specular reflections and require complex hardware setups.
Purpose of the Study:
- To propose a novel structured light field method for accurate 3D reconstruction of highly reflective surfaces.
- To develop a flexible focused light field camera system for adaptable spatial and angular resolution.
Main Methods:
- Designed and built a focused light field camera with adjustable resolution.
- Developed a subaperture image extraction algorithm using image mosaicking.
- Implemented a point cloud adaptive repair technique for 3D reconstruction.
- Proposed an objective evaluation method based on smoothness and repair rate.
Main Results:
- Achieved high-quality depth reconstruction for challenging highly reflective surfaces.
- Demonstrated the effectiveness of the point cloud adaptive repair method.
- Validated the proposed evaluation metrics for 3D reconstruction performance.
Conclusions:
- The proposed structured light field method offers a convenient and effective solution for 3D reconstruction of reflective objects.
- The system leverages multidirectional imaging capabilities of light field cameras for improved performance.
- The method avoids hardware complexity, making it broadly applicable.
