Andrej Ferko

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In this paper, we propose a two phase feature-preserving mesh denoising algorithm. The first phase consists of modified bilateral filtering applied on field of face normals. The range filtering is affected by gradual attenuation of the standard deviation of normal differences along with subsequent iteration. We also provide a method for automatic estimation(More)
In this paper we introduce a new technique for data-dependent triangulation which is suitable for implementation on a GPU. Our solution is based on a new parallel version of the well known Lawson's optimization process and is fully compatible with restrictions of the GPU hardware. We test and compare the quality of our solution in an image reconstruction(More)
In this paper, we present a method that introduces graphical models into a multi-view scenario. We focus on a popular Random Fields concept that many researchers use to describe context in a single image and introduce a new model that can transfer context directly between matched images – Multi-View Random Fields. This method allows sharing not only visual(More)