Missing region recovery for binocular point cloud using monocular-binocular fusion

Area of Science:

• Computer Vision
• 3D Reconstruction
• Geometric Modeling

Background:

• Binocular structured light technology is crucial for high-precision 3D reconstruction.
• Limitations include partial point cloud loss due to occlusions, limited perspectives, and uneven illumination.

Purpose of the Study:

• To propose a novel monocular-binocular fusion completion framework.
• To enhance the completeness of binocular point clouds without additional hardware.

Main Methods:

• Integration of a multi-phase point cloud registration process.
• Application of adaptive threshold filtering.
• Implementation of multi-step point cloud post-processing.

Main Results:

• The proposed framework effectively enhances binocular point cloud completeness.
• The method addresses limitations of traditional binocular systems.
• No additional hardware is required for implementation.

Conclusions:

• The monocular-binocular fusion framework offers a viable solution for improving 3D reconstruction completeness.
• Theoretical analysis and empirical testing validate the framework's feasibility and effectiveness.