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Computer Vision pp 1–5Cite as

Eigenspace Methods

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Synonyms

Methods of image recognition in a low-dimensional eigenspace

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Definition

The eigenspace method is an image recognition technique that achieves object recognition, object detection, and parameter estimation from images using the distances between input and gallery images in a low-dimensional eigenspace. Here, the eigenspace is constructed based on a statistical method, such as principal component analysis or Karhunen-Loève transform, so that the variation in the appearances of target objects can be represented in a low-dimensional space efficiently. In particular, a technique called the parametric eigenspace method represents the rotation and translation of a target object or a light source as a manifold in an eigenspace. Accordingly, this method performs object recognition and parameter estimation using distances in the...

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References

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Author information

Authors and Affiliations

  1. Faculty of Economics and Information, Gifu Shotoku Gakuen University, Gifu, Japan

    Tomokazu Takahashi

  2. Graduate School of Informatics, Nagoya University, Nagoya, Japan

    Hiroshi Murase

Authors
  1. Tomokazu Takahashi
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  2. Hiroshi Murase
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Corresponding authors

Correspondence to Tomokazu Takahashi or Hiroshi Murase .

Section Editor information

  1. Tohoku University, Sendai, Japan

    Koichiro Deguchi

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Takahashi, T., Murase, H. (2020). Eigenspace Methods. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_711-1

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  • DOI: https://doi.org/10.1007/978-3-030-03243-2_711-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03243-2

  • Online ISBN: 978-3-030-03243-2

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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