3D SUPER-RESOLUTION USING GENERALIZED SAMPLING EXPANSION - Image Processing, 1995. Proceedings., International Conference on
نویسنده
چکیده
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis’ generalized sampling theorem. The algorithm is devised for recovering the albedo and the height map of a Lambertian surface in a Bayesian framework, using Markov Random Fields for modeling the a priori knowledge.
منابع مشابه
Sub-pixel Reconstruction of a Variable Albedo Lambertian Surface
Using a probabilistic interpretation of an n dimensional extension of Papoulis's Generalized Sampling Theorem, an iterative algorithm has been devised for 3D reconstruction of a Lambertian surface at subpixel accuracy. The problem has been formulated as an optimization one in a Bayesian framework. The latter allows for introducing a priori information on the solution, using Markov Random Fields...
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