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Related Experiment Videos

Autocalibration of a projector-camera system.

Takayuki Okatani1, Koichiro Deguchi

  • 1Graduate School of Information Sciences, Tohoku University, 6-6-09 Aramaki Aza Aoba, Sendai, 980-8579 Japan. okatani@fractal.is.tohoku.ac.jp

IEEE Transactions on Pattern Analysis and Machine Intelligence
|December 17, 2005
PubMed
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This study introduces a novel method for calibrating projector-camera systems. The technique accurately estimates screen-camera homography and projector poses using projected images, even without prior screen knowledge.

Area of Science:

  • Computer Vision
  • Robotics
  • Computational Geometry

Background:

  • Projector-camera systems are crucial for augmented reality and 3D reconstruction.
  • Accurate calibration is essential for reliable system performance.
  • Estimating screen-camera homography without prior screen information is challenging.

Purpose of the Study:

  • To develop a non-iterative method for calibrating projector-camera systems with multiple projectors and a single camera.
  • To estimate the screen-camera homography and unknown projector poses.
  • To enable calibration without prior knowledge of the screen surface.

Main Methods:

  • The method estimates the screen-camera homography from images captured by the camera, which are illuminated by the projectors.

Related Experiment Videos

  • It assumes known internal projector geometry but unknown projector poses.
  • A non-iterative algorithm computes the homography using three or more projected images.

    • Main Results:

    • The screen-camera homography is determined up to a four-degree-of-freedom transformation.
    • Unique determination of homography and projector poses is achieved by defining a coordinate system on the screen.
    • Experimental results validate the method's effectiveness on both synthetic and real image data.

    Conclusions:

    • The proposed method offers an efficient and effective solution for calibrating complex projector-camera systems.
    • It overcomes limitations of existing methods by not requiring prior screen surface knowledge.
    • The non-iterative approach simplifies the calibration process and enhances practical applicability.