Research Article
Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection
@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
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.