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

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.
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https://hal.inria.fr/hal-01184738
Contributor : Gilles Simon <>
Submitted on : Monday, August 17, 2015 - 3:03:33 PM
Last modification on : Monday, March 29, 2021 - 11:56:03 AM

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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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