A statistical framework for robust fusion of depth information

Research output: Contribution to journalArticlepeer-review

Abstract

We describe a simple statistical framework intended as a model of how depth estimates derived from consistent depth cues are combined in biological vision. We assume that the rule of combination is linear, and that the weights assigned to estimates in the linear combination are variable. These weight values corresponding to different depth cues are determined by ancillary measures, information concerning the likely validity of different depth cues in a particular scene. The parameters of the framework may be estimated psychophysically by procedures described. The conditions under which the framework may be regarded as normative are discussed.

Original languageEnglish (US)
Pages (from-to)1154-1163
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1199
DOIs
StatePublished - Nov 1 1989

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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