Extending epipolar geometry for real-time structured light illumination II: lossless accuracy

Area of Science:

• Optics and Photonics
• Computer Vision
• Metrology

Background:

• Structured light illumination is a key 3D scanning technique using projected patterns and camera feedback.
• Existing methods often rely on complex matrix operations for real-time reconstruction, limiting computational efficiency.
• Current look-up tables invert traditional lens projection matrices, presenting a computational bottleneck.

Purpose of the Study:

• To develop a more computationally efficient method for 3D point cloud reconstruction using structured light illumination.
• To reduce the computational complexity associated with real-time 3D scanning.
• To enhance the speed of structured light scanning without compromising accuracy.

Main Methods:

• Proposed novel look-up tables utilizing dual camera-projector views.
• Implemented basic arithmetic operations instead of complex matrix inversions for reconstruction.
• Developed algorithms for efficient point cloud generation from striped pattern deformation.

Main Results:

• Achieved a 6.66x increase in computation speed, from 31.00 to 206.61 frames per second.
• Maintained accuracy comparable to traditional methods.
• Significantly reduced the total number of computations required for point cloud reconstruction.

Conclusions:

• The proposed look-up table method offers a substantial speed improvement for structured light 3D scanning.
• This approach provides a computationally efficient alternative for real-time 3D reconstruction.
• The findings enable faster and more accessible 3D scanning applications.