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

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dc.contributor.authorBerger, M.-O.en_US
dc.contributor.authorChevrier, C.en_US
dc.contributor.authorSimon, G.en_US
dc.date.accessioned2014-10-21T07:43:40Z
dc.date.available2014-10-21T07:43:40Z
dc.date.issued1996en_US
dc.description.abstractAugmented reality shows great promises in fields where a simulation in situ would be impossible or 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.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume15en_US
dc.identifier.doi10.1111/1467-8659.1530023en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages23-32en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.1530023en_US
dc.publisherBlackwell Science Ltd and the Eurographics Associationen_US
dc.titleCompositing Computer and Video Image Sequences: Robust Algorithms for the Reconstruction of the Camera Parametersen_US
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