Found 4 document(s)
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We present a framework for uncertainty-aware geometry processing on Gaussian Process Implicit Surfaces (GPIS), enabling computations directly on such probabilistic representations of shapes. In contrast to classical geom...
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In this paper, we present a fast and accurate approximation of the Euclidean opening function which is a wide-used tool in morphological mathematics to analyze binary shapes since it allows us to define a local thickness...
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In this paper, we address the problem of vectorization of binary images on irregular isothetic grids. The representation of graphical elements by lines is common in document analysis, where images are digitized on (somet...
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Cette thèse se situe dans le cadre de la géométrie discrète qui constitue l'une des grandes familles de méthodes dédiées à l'analyse automatisée des formes dans les images numériques 2D et 3D. Tous les systèmes d'acquisi...