The Stereoscopic Zoom

Sergi Pujades 1, 2 Frédéric Devernay 3 Laurent Boiron 3 Rémi Ronfard 3
2 PRIMA - Perception, recognition and integration for observation of activity
Inria Grenoble - Rhône-Alpes, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble , CNRS - Centre National de la Recherche Scientifique : UMR5217
3 IMAGINE - Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We study camera models to generate stereoscopic zoom shots, i.e. using very long focal length lenses. Stereoscopic images are usually generated with two cameras. However, we show that two cameras are unable to create compelling stereoscopic images for extreme focal length lenses. Inspired by the practitioners' use of the long focal length lenses we propose two different configurations: we " get closer " to the scene, or we create " perspective deformations ". Both configurations are build upon state-of-the-art image-based rendering methods allowing the formal deduction of precise parameters of the cameras depending on the scene to be acquired. We present a proof of concept with the acquisition of a representative simplified scene. We discuss the advantages and drawbacks of each configuration.
Type de document :
Communication dans un congrès
Computation Cameras and Displays, Jul 2017, Honolulu, United States. 2017, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 〈http://www.computationalimaging.org/ccd2017/〉
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Contributeur : Frédéric Devernay <>
Soumis le : lundi 7 août 2017 - 15:29:04
Dernière modification le : jeudi 11 janvier 2018 - 06:23:42

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Sergi Pujades, Frédéric Devernay, Laurent Boiron, Rémi Ronfard. The Stereoscopic Zoom. Computation Cameras and Displays, Jul 2017, Honolulu, United States. 2017, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 〈http://www.computationalimaging.org/ccd2017/〉. 〈hal-01572470〉

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