Proceedings of the conference on Visualization '02
Computer vision for human modelling and analysis
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
Online Estimation of Trifocal Tensors for Augmenting Live Video
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
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We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera undergoing unknown movement. Previous approaches have used calibration objects or landmarks to recover this information, and are therefore often limited to a particular scale. The approach of this paper is far more general, since the "landmarks" are derived and matched automatically directly from the imaged scene texture. The method can be applied to a large class of scenes and motions, and is demonstrated here for sequences of interior and exterior scenes using both controlled-motion and hand-held cameras.We demonstrate two applications of this technology. The first is the construction of 3D graphical models of the scene; the second is the insertion of virtual objects into the original image sequence.