Shape from distortion: 3D range scanning of mirroring objects

  • Authors:
  • Marco Tarini;Hendrik Lensch;Michael Goesele;Hans-Peter Seidel

  • Affiliations:
  • Visual Computing Group, Pisa, Italy;Max-Planck-Institut für Informatik, Saarbrücken, Germany;Max-Planck-Institut für Informatik, Saarbrücken, Germany;Max-Planck-Institut für Informatik, Saarbrücken, Germany

  • Venue:
  • ACM SIGGRAPH 2002 conference abstracts and applications
  • Year:
  • 2002

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Abstract

Objects with mirroring surfaces are left out of the scope of most recent 3D scanning methods. We developed a new acquisition approach, shape-from-distortion, that focuses on that category of objects, requires only a still camera and a monitor, and generates high quality range scans (plus a normal field). Our contributions are a novel acquisition technique based on environment matting [Chuang et al. 2000] and corresponding geometry reconstruction method that recovers a very precise geometry model for mirroring objects.