We present a simple and cost-effective solution for augmented reality for pictures. Our approach is robust and achieves realistic results with minimal calibration, equipment, and user expertise. In our scheme the user takes a series of pictures of the site where the virtual object has to be visualized. These pictures are all we need for camera calibration, illumination capture, and rendering. We present a novel camera calibration technique that determines the orientation of a site that is too far to calibrate using the traditional calibration algorithms. We capture the illumination at the site by inferring from the shadows cast by a paper-made cube placed at the site. We then combine all the information to place the object at the site with a consistent illumination and shadows.
By: Aravind Kalaiah, Holly Rushmeier, Fausto Bernardini
Published in: RC23053 in 2004
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