Practical Methods for Geometric and Photometric Correction of Tiled Projector

  • Authors:

  • Michael Harville;Bruce Culbertson;Irwin Sobel;Dan Gelb;Andrew Fitzhugh;Donald Tanguay

  • Affiliations:

  • Hewlett-Packard Laboratories, USA;Hewlett-Packard Laboratories, USA;Hewlett-Packard Laboratories, USA;Hewlett-Packard Laboratories, USA;Hewlett-Packard Laboratories, USA;Hewlett-Packard Laboratories, USA

  • Venue:
  • CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
  • Year:
  • 2006

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Abstract

We describe a novel, practical method to create largescale, immersive displays by tiling multiple projectors on curved screens. Calibration is performed automatically with imagery from a single uncalibrated camera, without requiring knowledge of the 3D screen shape. Composition of 2D-mesh-based coordinate mappings, from screen-tocamera and from camera-to-projectors, allows image distortions imposed by the screen curvature and camera and projector lenses to be geometrically corrected together in a single non-parametric framework. For screens that are developable surfaces, we show that the screen-to-camera mapping can be determined without some of the complication of prior methods, resulting in a display on which imagery is undistorted, as if physically attached like wallpaper. We also develop a method of photometric calibration that unifies the geometric blending, brightness scaling, and black level offset maps of prior approaches. The functional form of the geometric blending is novel in itself. The resulting method is more tolerant of geometric correction imprecision, so that visual artifacts are significantly reduced at projector edges and overlap regions. Our efficient GPUbased implementation enables a single PC to render multiple high-resolution video streams simultaneously at frame rate to arbitrary screen locations, leaving the CPU largely free to do video decompression and other processing.