Surface fitting and registration of point clouds using approximations of the unsigned distance function

  • Authors:
  • Simon Flöry;Michael Hofer

  • Affiliations:
  • Geometric Modeling and Industrial Geometry Research Group, Vienna University of Technology, Wiedner Hauptstraße 8-10, 1040 Wien, Austria;Geometric Modeling and Industrial Geometry Research Group, Vienna University of Technology, Wiedner Hauptstraße 8-10, 1040 Wien, Austria

  • Venue:
  • Computer Aided Geometric Design
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Many problems in computer aided geometric design and geometry processing are stated as least-squares optimizations. Least-squares problems are well studied and widely used but exhibit immanent drawbacks such as high sensitivity to outliers. For this reason, we consider techniques for the registration of point clouds and surface fitting to point sets based on the l"1-norm. We develop algorithms to solve l"1-registration and l"1-fitting problems and explore the emerging non-smooth minimization problems. We describe efficient ways to solve the optimization programs and present results for various applications.