Sub-pixel Reconstruction of a Variable Albedo Lambertian Surface
نویسندگان
چکیده
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 (MRF). The estimated 3D features of the surface are the albedo and the height which are obtained simultaneously using a set of low resolution images. keywords: 3D Super resolution, Generalized Sampling Expansion, Low level image processing, Markov Random Fields (MRF).
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