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Intelligent Technologies for Interactive Entertainment. 5th International ICST Conference, INTETAIN 2013, Mons, Belgium, July 3-5, 2013, Revised Selected Papers

Research Article

Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection

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  • @INPROCEEDINGS{10.1007/978-3-319-03892-6_18,
        author={Radhwan Ben Madhkour and Ludovic Burczykowski and Matei Mancaş and Bernard Gosselin},
        title={Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection},
        proceedings={Intelligent Technologies for Interactive Entertainment. 5th International ICST Conference, INTETAIN 2013, Mons, Belgium, July 3-5, 2013, Revised Selected Papers},
        proceedings_a={INTETAIN},
        year={2014},
        month={6},
        keywords={projection calibration tracking scene augmentation},
        doi={10.1007/978-3-319-03892-6_18}
    }
    
  • Radhwan Ben Madhkour
    Ludovic Burczykowski
    Matei Mancaş
    Bernard Gosselin
    Year: 2014
    Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection
    INTETAIN
    Springer
    DOI: 10.1007/978-3-319-03892-6_18
Radhwan Ben Madhkour1,*, Ludovic Burczykowski2, Matei Mancaş1, Bernard Gosselin1
  • 1: University of Mons
  • 2: University of Paris 8
*Contact email: radhwan.benmadhkour@umons.ac.be

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
Published
2014-06-19
http://dx.doi.org/10.1007/978-3-319-03892-6_18
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