Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation

  • Authors:
  • Florent Lafarge;Clément Mallet

  • Affiliations:
  • INRIA, Sophia Antipolis, France;Université Paris Est, Saint Mandé, France

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2012

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Abstract

We present a novel and robust method for modeling cities from 3D-point data. Our algorithm provides a more complete description than existing approaches by reconstructing simultaneously buildings, trees and topologically complex grounds. A major contribution of our work is the original way of modeling buildings which guarantees a high generalization level while having semantized and compact representations. Geometric 3D-primitives such as planes, cylinders, spheres or cones describe regular roof sections, and are combined with mesh-patches that represent irregular roof components. The various urban components interact through a non-convex energy minimization problem in which they are propagated under arrangement constraints over a planimetric map. Our approach is experimentally validated on complex buildings and large urban scenes of millions of points, and is compared to state-of-the-art methods.