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Minimal Surfaces in the Roto-Translation Group with Applications to a Neuro-Biological Image Completion Model

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Abstract

We investigate solutions to the minimal surface problem with Dirichlet boundary conditions in the roto-translation group equipped with a sub-Riemannian metric. By work of G. Citti and A. Sarti, such solutions are completions of occluded visual data when using a model of the first layer of the visual cortex. Using a characterization of smooth non-characteristic minimal surfaces as ruled surfaces, we give a method to compute a minimal spanning surface given fixed boundary data presuming such a surface exists. Moreover, we describe a number of obstructions to existence and uniqueness but also show that under suitable conditions, smooth minimal spanning surfaces with good properties exist. Not only does this provide an explicit realization of the disocclusion process for the neurobiological model, but it also has application to constructing disocclusion algorithms in digital image processing.

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Authors and Affiliations

  1. Department of Mathematics, North Dakota State University, PO BOX 6050, Fargo, ND, 58108, USA

    Robert K. Hladky

  2. Department of Mathematics, Dartmouth College, 6188 Kemeny Hall, Hanover, NH, 03755, USA

    Scott D. Pauls

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  1. Robert K. Hladky
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  2. Scott D. Pauls
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Correspondence to Scott D. Pauls.

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Hladky, R.K., Pauls, S.D. Minimal Surfaces in the Roto-Translation Group with Applications to a Neuro-Biological Image Completion Model. J Math Imaging Vis 36, 1–27 (2010). https://doi.org/10.1007/s10851-009-0167-9

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  • DOI: https://doi.org/10.1007/s10851-009-0167-9

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