Asynchronous distributed calibration for scalable and reconfigurable multi-projector displays

Area of Science:

• Computer Vision
• Display Technology
• Distributed Systems

Background:

• Traditional calibration of large multi-projector displays relies on centralized systems.
• Centralized control limits scalability and reconfigurability of tiled display arrays.

Purpose of the Study:

• To propose an asynchronous, distributed calibration methodology for multi-projector displays.
• To enable scalable, reconfigurable, and fault-tolerant display systems.

Main Methods:

• Introduced the plug-and-play projector (PPP), a self-sufficient module with integrated projector, camera, and computation.
• Developed a single-program-multiple-data (SPMD) calibration algorithm for distributed execution on each PPP.
• Implemented dynamic addition/removal of PPPs and automatic display reshaping.

Main Results:

• Achieved a truly scalable and reconfigurable multi-projector display without user intervention.
• Demonstrated dynamic fault detection and system adaptation to hardware changes.
• Successfully created an asynchronous distributed calibration architecture.

Conclusions:

• The proposed asynchronous distributed calibration methodology offers a novel solution for large-scale display systems.
• This approach enhances flexibility, scalability, and robustness compared to centralized methods.
• Paves the way for future self-sufficient and adaptive display technologies.