Compositing Computer and Video Image Sequences: Robust Algorithms for the Reconstruction of the Camera Parameters

Marie-Odile Berger 1 Christine Chevrier 2 Gilles Simon 1
1 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : Augmented reality shows great promises in fields where a simulation in situ would be impossible o r too expensive. When mixing synthetic and real objects in the same animated sequence, we must be sure that the geometrical coherence as well as the photometrical coherence is ensured. One major challenge is to compute the camera viewpoint with sufficient accuracy to ensure a satisfactory composition. We especially address this point in this paper using computer vision techniques and robust statistical methods. We prove that such techniques make it possible to compute almost automatically the viewpoint for long video sequences even for bad quality images in outdoor environments. Significant results on the lighting simulation of the bridges of Paris are shown.
Type de document :
Article dans une revue
Computer Graphics Forum, Wiley, 1996, 15 (3), pp.10
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Soumis le : lundi 17 août 2015 - 15:03:33
Dernière modification le : vendredi 14 septembre 2018 - 09:56:10

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  • HAL Id : hal-01184738, version 1

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Marie-Odile Berger, Christine Chevrier, Gilles Simon. Compositing Computer and Video Image Sequences: Robust Algorithms for the Reconstruction of the Camera Parameters. Computer Graphics Forum, Wiley, 1996, 15 (3), pp.10. 〈hal-01184738〉

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