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Reports Year : 1995

3D Super-resolution Using Generalised Sampling Expansion

Marc Berthod
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Josiane Zerubia
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Using a probabilistic interpretation of Papoulis' generalized sampl ing theorem, an iterative algorithm has been devised for 3D reconstruction of a Lambertian surface at sub-pixel accuracy. The problem has been formulated as a n optimization one in a Bayesian framework. The latter allows for introducing { \em a priori} information on the solution, using Markov Random Fields (MRF). Th e estimated 3D features of the surface are the albedo and the height which are obtained simultaneously using a set of low resolution images.
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Dates and versions

inria-00073984 , version 1 (24-05-2006)


  • HAL Id : inria-00073984 , version 1


Hassan Shekarforoush, Marc Berthod, Josiane Zerubia. 3D Super-resolution Using Generalised Sampling Expansion. RR-2706, INRIA. 1995. ⟨inria-00073984⟩
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