3D+t Reconstruction in the Context of Locally Spheric Shaped Data Observation

Abstract : The main focus of this paper is 3D+t shape recovery from 3D spatial data and 2D+t temporal sequences. This reconstruction is particularly challenging due to the great deal of in-depth information loss observed on the 2D+t temporal sequence. Our approach embed a geometrical local constraint to handle the critical lack of information. This prior constraint is defined by a spherical topology because several applications may be concerned. It allows us to model relevantly the 3D- to-2D transformation that reduces each 3D image into a 2D frame. We then can build a 3D inaccurate inverse reconstruction of each 2D frame belonging to the video, i.e. 2D+t sequence. These inaccurate 3D images are enhanced by gradual motion compensation using a regularity criterion. Results on synthetic data are displayed.
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Communication dans un congrès
CAIP 2007 - 12th International Conference on Computer Analysis of Images and Patterns, Aug 2007, Vienna, Austria. Springer Verlag, 4673, pp.482-489, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-74272-2_60〉
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https://hal.inria.fr/inria-00635911
Contributeur : Nathalie Gaudechoux <>
Soumis le : mercredi 26 octobre 2011 - 11:58:08
Dernière modification le : mardi 17 avril 2018 - 11:32:12

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Wafa Rekik, Dominique Béréziat, Séverine Dubuisson. 3D+t Reconstruction in the Context of Locally Spheric Shaped Data Observation. CAIP 2007 - 12th International Conference on Computer Analysis of Images and Patterns, Aug 2007, Vienna, Austria. Springer Verlag, 4673, pp.482-489, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-74272-2_60〉. 〈inria-00635911〉

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