articleJun 1, 2019Closed access

TopNet: Structural Point Cloud Decoder

Stanford University · Stanford Medicine · +1 more institution

Indexed incrossref

Abstract

3D point cloud generation is of great use for 3D scene modeling and understanding. Real-world 3D object point clouds can be properly described by a collection of low-level and high-level structures such as surfaces, geometric primitives, semantic parts,etc. In fact, there exist many different representations of a 3D object point cloud as a set of point groups. Existing frameworks for point cloud genera-ion either do not consider structure in their proposed solutions, or assume and enforce a specific structure/topology,e.g. a collection of manifolds or surfaces, for the generated point cloud of a 3D object. In this work, we pro-pose a novel decoder that generates a structured point cloud without assuming any…

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513
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Authors

5

Topics & keywords

Keywords
  • Point cloud
  • Computer science
  • Object (grammar)
  • Topology (electrical circuits)
  • Point (geometry)
  • Set (abstract data type)
  • Cloud computing
  • Tree (set theory)
UN Sustainable Development Goals
  • Sustainable cities and communities
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