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Automatic projector calibration with embedded light sensors

Published: 24 October 2004 Publication History

Abstract

Projection technology typically places several constraints on the geometric relationship between the projector and the projection surface to obtain an undistorted, properly sized image. In this paper we describe a simple, robust, fast, and low-cost method for automatic projector calibration that eliminates many of these constraints. We embed light sensors in the target surface, project Gray-coded binary patterns to discover the sensor locations, and then prewarp the image to accurately fit the physical features of the projection surface. This technique can be expanded to automatically stitch multiple projectors, calibrate onto non-planar surfaces for object decoration, and provide a method for simple geometry acquisition.

References

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Pinhanez, C. "The Everywhere Displays Projector: A Device to Create Ubiquitous Graphical Interfaces." Proceedings of Ubiquitous Computing 2001.
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Ramesh Raskar, Greg Welch, Matthew Cutts, Adam Lake, Lev Stesin, and Henry Fuchs. "The office of the future: A unified approach to image-based modeling and spatially immersive displays." In Proceedings of SIGGRAPH '98. ACM Press, 1998.
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R. Raskar, G. Welch, and K.-L. Low. "Shader Lamps: Animating real objects with image-based illumination." In Proceedings of Eurographics Workshop on Rendering, 2001.
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Raskar, R., Beardsley, P.A., "A Self-Correcting Projector", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), December 2001.
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R. Sukthankar, R. Stockton, and M. Mullin., "Smarter presentations: Exploiting homography in camera-projector systems," In Proceedings of International Conference on Computer Vision, 2001.
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Eric W. Weisstein. "Homography." From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/Homography.html.
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J. Salvi, J. Pagés, J. Batlle. Pattern Codification Strategies in Structured Light Systems. Pattern Recognition 37(4), pp. 827--849, April 2004.
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M. Trobina, "Error model of a code-light range sensor," Tech report, Communication Technology Laboratory, ETH Zentrum, Zurich, 1995.

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cover image ACM Conferences
UIST '04: Proceedings of the 17th annual ACM symposium on User interface software and technology
October 2004
312 pages
ISBN:1581139578
DOI:10.1145/1029632
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2004

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Author Tags

  1. keystone correction
  2. multi-projector stitching
  3. object decoration
  4. projector calibration
  5. structured light

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UIST04

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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