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Geons

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Computer Vision

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Synonyms

Recognition-by-components (RBC) theory

Related Concepts

Object Class Recognition (Categorization)

Definition

Geons are a set of less than 50 qualitative 2-D or 3-D part classes derived from permuting a set of four dichotomous and trichotomous properties of a generalized cylinder (GC). The values of these properties are nonaccidental in that they can be resolved from a general viewpoint, e.g., whether the axis of a cylinder is straight or curved. Geons were originally introduced by Biederman [9, 10] as the foundation for his recognition-by-components (RBC) theory for human shape perception, whereby object-centered models are represented as concatenations of geons, and object recognition from a 2-D image proceeds by matching recovered parts, typically segmented at regions of matched concavity, and their relations to object models.

Background

The concept of modeling an object as a composition of generalized cylinders dates back to Binford [18], who spawned a generation of...

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Toronto, Toronto, ON, Canada

    Sven J. Dickinson

  2. Departments of Psychology, Computer Science, and the Neuroscience Program, University of Southern California, Los Angeles, CA, USA

    Irving Biederman

Authors
  1. Sven J. Dickinson
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  2. Irving Biederman
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Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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Dickinson, S.J., Biederman, I. (2014). Geons. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_431

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