TR93-11a

The Generic Viewpoint Assumption in a Bayesian Framework


    •  William T. Freeman, "The Generic Viewpoint Assumption in a Bayesian Framework", Tech. Rep. TR93-11a, Mitsubishi Electric Research Laboratories, Cambridge, MA, March 1994.
      BibTeX TR93-11a PDF
      • @techreport{MERL_TR93-11a,
      • author = {William T. Freeman},
      • title = {The Generic Viewpoint Assumption in a Bayesian Framework},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR93-11a},
      • month = mar,
      • year = 1994,
      • url = {https://www.merl.com/publications/TR93-11a/}
      • }
  • Research Area:

    Computer Vision

Abstract:

The \"generic view\" assumption states that an observer is not in a special position relative to the scene. It is commonly used to disqualify scene interpretations that assume special viewpoints, following a binary decision that the viewpoint was either generic or accidental. In this chapter, we show how to use the generic view assumption to quantify the likelihood of a view. This quantitative approach can be applied to estimate scene parameters. This approach applies to many vision problems. We show shape from shading examples where we rank shapes or reflectance functions in cases which are otherwise ambiguous. The rankings agree with the perceived values.