Digital Three-dimensional Reconstruction Based On Integral Imaging

Area of Science:

• Computer Vision
• Digital Imaging
• 3D Reconstruction

Background:

• Micro-lens arrays and CCD sensors enable elemental image capture for 3D imaging.
• Accurate image registration is crucial for precise depth estimation in 3D reconstruction.

Purpose of the Study:

• To present a digital 3D reconstruction method using small-baseline elemental images.
• To utilize the Affine Scale-invariant feature transform (ASIFT) for robust image registration.
• To achieve accurate depth value computation and high-performance 3D reconstruction.

Main Methods:

• Capture a set of small-baseline elemental images using a micro-lens array and CCD sensor.
• Employ ASIFT for image registration, using a central elemental image as the reference.
• Calculate matching points between elemental images to determine depth values.
• Apply an optimization algorithm with redundant matching points for final 3D reconstruction.

Main Results:

• The proposed method accurately computes depth values of object points relative to the reference image frame.
• Experimental results demonstrate excellent performance in terms of accuracy.
• The algorithm achieves high speed in the 3D reconstruction process.

Conclusions:

• The presented digital 3D reconstruction method is effective and efficient.
• The use of ASIFT and elemental images provides a robust approach for depth estimation.
• The technique shows significant potential for various 3D imaging applications.