Review of holographic-based three-dimensional object recognition techniques [invited]

Area of Science:

• Computer Vision
• Optical Engineering
• 3D Reconstruction

Background:

• Digital holography enables 3D object capture, but analysis is challenging due to complex fringe patterns.
• Traditional computer vision methods are insufficient for hologram analysis.
• Significant research has addressed holographic-based 3D object recognition (H3DOR) over five decades.

Purpose of the Study:

• To provide a historical overview of H3DOR development from film-based to digital innovations.
• To detail selected H3DOR methods from the late 1960s onwards.
• To present a novel digital holographic, pose-invariant 3D object recognition method.

Main Methods:

• Historical review of H3DOR techniques.
• Detailed analysis of selected H3DOR methods across different eras.
• Implementation of a new pose-invariant recognition approach using a virtual diffraction plane framework.

Main Results:

• A comprehensive historical perspective on H3DOR evolution is presented.
• Key H3DOR methods from various timelines are described.
• Experimental results demonstrate the feasibility of the novel virtual diffraction plane-based approach.

Conclusions:

• The study provides a valuable historical context for H3DOR.
• A new, pose-invariant digital holographic recognition method is introduced.
• The proposed method shows promise for advancing 3D object recognition from digital holograms.