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.