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Image Descriptors

  • Chapter
Image Registration

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

Image descriptors represent homogeneous features in an image or sub-image. The principles behind histogram-based, spin image-based, filtering-based, and moment-based descriptors are reviewed, and strategies to efficiently compute them are given. In addition, means to combine homogeneous descriptors to composite descriptors are described, and methods to determine the similarity or dissimilarity between the descriptors are outlined. Also discussed in this chapter are determination of global scale and rotational differences between two images by the scale-invariant feature transform (SIFT) and log-polar mapping.

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Authors and Affiliations

  1. Dept. Computer Science and Engineering, 303 Russ Engineering Center, Wright State University, Dayton, OH, USA

    Prof. A. Ardeshir Goshtasby

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  1. Prof. A. Ardeshir Goshtasby
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Correspondence to A. Ardeshir Goshtasby .

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Goshtasby, A.A. (2012). Image Descriptors. In: Image Registration. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-2458-0_5

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  • DOI: https://doi.org/10.1007/978-1-4471-2458-0_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2457-3

  • Online ISBN: 978-1-4471-2458-0

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