Homography based identification for automatic and robust calibration of projection integral imaging displays

Area of Science:

• Optics
• Computer Vision
• Display Technology

Background:

• Microlens arrays as holographic optical elements enable projector-based see-through light field displays for augmented reality (AR).
• Accurate projector calibration is crucial for these AR systems, as misalignment leads to 3D reconstruction failure.
• Existing calibration methods demand precise camera placement, limiting display system configuration.

Purpose of the Study:

• To propose a more robust calibration approach for projector-based light field displays.
• To enable free camera placement, thereby removing limitations on system configuration.
• To improve the accuracy and flexibility of AR display calibration.

Main Methods:

• A novel calibration method utilizing homography-based techniques and structured light.
• The approach compensates for projector lens distortion, intrinsics, and positioning relative to the microlens array screen.
• Employs a single camera without requiring obtrusive markers for reference.

Main Results:

• The method was successfully tested on a projection-based integral imaging display system.
• Demonstrated robustness and accuracy in compensating for projector and screen misalignments.
• Verified calibration effectiveness through both simulated and real-world experimental setups.

Conclusions:

• The proposed calibration method offers enhanced robustness and flexibility for projector-based light field displays.
• Free camera placement significantly improves the usability and applicability of AR display systems.
• This technique addresses critical calibration challenges in advanced AR display technologies.