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Camera-based calibration techniques for seamless multiprojector displays.

Michael Brown1, Aditi Majumder, Ruigang Yang

  • 1Department of Computer Science, Cal State Monterey Bay, Bldg. 18, 100 Campus Dr., Seaside, CA 93955, USA. brown@cs.ust.hk

IEEE Transactions on Visualization and Computer Graphics
|March 8, 2005
PubMed
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Automated camera-based techniques calibrate multiprojector displays for seamless visuals. This survey reviews methods for geometric and photometric registration, enhancing accessibility and reducing manual effort.

Area of Science:

  • Computer Vision
  • Display Technology
  • Scientific Visualization

Background:

  • Multiprojector, large-scale displays are crucial for scientific visualization and virtual reality.
  • Traditional manual calibration is labor-intensive and costly.
  • Automated camera-based registration offers a solution for geometry and color calibration.

Purpose of the Study:

  • To survey existing camera-based geometric and photometric registration techniques for multiprojector displays.
  • To provide an overview of different approaches, their advantages, and disadvantages.
  • To identify remaining challenges and future research opportunities.

Main Methods:

  • Review and analysis of published literature on camera-based display registration.
  • Categorization of techniques based on display configurations (planar, arbitrary surfaces) and correction types (geometric, photometric).

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Main Results:

  • Several camera-based techniques for automated geometric and photometric registration have been developed.
  • These methods enable seamless imagery across projector mosaics.
  • Techniques are applicable to both planar and arbitrary display surfaces.

Conclusions:

  • Camera-based registration significantly improves the cost-effectiveness, flexibility, and accessibility of multiprojector displays.
  • Further research is needed to address remaining challenges in multiprojector display calibration.