Browsing 36-Issue 5 by Subject "Computational Geometry and Object Modelling"

Now showing items 1-2 of 2

    • The Shape Variational Autoencoder: A Deep Generative Model of Part-segmented 3D Objects 

      Nash, Charlie; Williams, Chris K. I. (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      We introduce a generative model of part-segmented 3D objects: the shape variational auto-encoder (ShapeVAE). The ShapeVAE describes a joint distribution over the existence of object parts, the locations of a dense set of ...

    • Stochastic Heat Kernel Estimation on Sampled Manifolds 

      Aumentado-Armstrong, Tristan; Siddiqi, Kaleem (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      The heat kernel is a fundamental geometric object associated to every Riemannian manifold, used across applications in computer vision, graphics, and machine learning. In this article, we propose a novel computational ...