Titlebook: Scale Space and Variational Methods in Computer Vision; 4th International Co Arjan Kuijper,Kristian Bredies,Horst Bischof Conference procee

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MEET

Generalize

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Outlier Removal Power of the L1-Norm Super-Resolution proposed to solve this problem in a robust way. The outlier rejection capability of this methods has been shown experimentally for super-resolution. However, existing approaches add a regularization term to perform the minimization while it may not be necessary. In this paper, we recall the link be

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Why Is the Census Transform Good for Robust Optic Flow Computation?ically increasing grey value transformations, it forms the basis of an illumination-robust constancy assumption. However, its underlying mathematical concepts have not been studied so far. The goal of our paper is to provide this missing theoretical foundation. We study the continuous limit of the i

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Generalised Perspective Shape from Shading in Spherical Coordinatesaches based on advanced model assumptions such as perspective cameras and non-Lambertian surfaces have become very popular. However, regarding the positioning of the light source, almost all recent approaches still follow the simplest geometric configuration one can think of: The light source is ass

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