VISAGG is a research group within the Graphics Jungle at the University of Calgary. We address a variety of problems in visual computing using multidisciplinary approaches rooted in data visualization, computer graphics, image processing, scientific computing, high performance computing, data science, and machine learning. We develop fundamental techniques and apply them across a broad range of disciplines to provide flexible and scalable solutions.
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A closed PP form of box splines via Green’s function decomposition
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Compactly Supported Biorthogonal Wavelet Bases on the Body Centered Cubic Lattice
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Decal-maps: Real-time Layering of Decals on Surfaces for Multivariate Visualization
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Multivariate Visualization of Oceanography Data Using Decals
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CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines
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Icosahedral Maps for a Multiresolution Representation of Earth Data