3D+t reconstruction in the context of locally spheric shaped data observation

  • Authors:

  • Wafa Rekik;Dominique Béréziat;Séverine Dubuisson

  • Affiliations:

  • Université Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, Paris;INRIA Rocquencourt, Le Chesnay Cedex France;Université Pierre et Marie Curie, Laboratoire d'Informatique de Paris 6, Paris

  • Venue:
  • CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
  • Year:
  • 2007

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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.