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    • Accurate and Efficient Computation of Laplacian Spectral Distances and Kernels 

      Patané, Giuseppe (© 2017 The Eurographics Association and John Wiley & Sons Ltd., 2017)
      This paper introduces the Laplacian spectral distances, as a function that resembles the usual distance map, but exhibits properties (e.g. smoothness, locality, invariance to shape transformations) that make them useful ...
    • Towards Globally Optimal Normal Orientations for Large Point Clouds 

      Schertler, Nico; Savchynskyy, Bogdan; Gumhold, Stefan (© 2017 The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction). While several approaches exist for the calculation of normal directions, in most cases, their ...