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.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Ben Madhkour, R., Burczykowski, L., Mancaş, M., Gosselin, B. (2013). Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection. In: Mancas, M., d’ Alessandro, N., Siebert, X., Gosselin, B., Valderrama, C., Dutoit, T. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-03892-6_18
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DOI: https://doi.org/10.1007/978-3-319-03892-6_18
Publisher Name: Springer, Cham
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