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Model-Based Object Recognition

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Computer Vision

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Synonyms

Object models; Object parameterizations; Object representations; Visual patterns

Related Concepts

Human Pose Estimation; Object Class Recognition (Categorization); Object Detection

Definition

Model-based object recognition addresses the problem of recognizing objects from images by means of a suitable mathematical model that is used to describe the object.

Background

In model-based object recognition, an object model is typically defined so as to capture object’s geometrical and appearance properties at the appropriate level of specificity. For instance, an object model can be designed to recognize a generic “face” as opposed to “someone’s face” or vice versa. In the former case, which is often referred to as the object categorization problem, the main challenge is to design models that are capable of retaining key visual properties for representing an object category, such as a “face,” at the appropriate level of abstraction. Such models can be then used to recognize novel...

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, USA

    Min Sun

  2. Department of Electrical and Computer Engineering, University of Michigan, 1301 Beal Avenue, Room 4120, 48109-2122, Ann Arbor, MI, USA

    Silvio Savarese

Authors
  1. Min Sun
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  2. Silvio Savarese
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Corresponding author

Correspondence to Min Sun .

Editor information

Editors and Affiliations

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

    Katsushi Ikeuchi

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© 2014 Springer Science+Business Media New York

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Sun, M., Savarese, S. (2014). Model-Based Object Recognition. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_334

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