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Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection

  • Radhwan Ben Madhkour
  • Ludovic Burczykowski
  • Matei Mancaş
  • Bernard Gosselin
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 124)

Abstract

In this paper, we present a system able to calibrate projectors, perform 3D reconstruction and project shadow and textures generated in real-time. The calibration algorithm is based on Heikkila’s camera calibration algorithm. It combines Gray coded structured light patterns projection and a RGBD camera. Any projection surface can be used. Intrinsic and extrinsic parameters are computed without a scale factor uncertainty and any prior knowledge about the projector and the projection surface. The projector calibration is used as a basis to augment the scene with information from the RGBD camera. Shadows are generated with lights. Their position is modified in real-time to follow a user position. The 3D reconstruction is based on the Kinect fusion algorithm. The model of scene is used to apply texture on the scene and to generate correct shadows.

Keywords

projection calibration tracking scene augmentation 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Radhwan Ben Madhkour
    • 1
  • Ludovic Burczykowski
    • 2
  • Matei Mancaş
    • 1
  • Bernard Gosselin
    • 1
  1. 1.Numiediart InstituteUniversity of MonsMonsBelgium
  2. 2.University of Paris 8Saint-DenisFrance

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