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Perceptual Validation and Analysis

  • Chapter
Visual Texture

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

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Abstract

Evaluation of how well texture models conform with human visual perception is important not only for assessing the similarities between model output and original textures, but also for optimal settings of model parameters, for fair comparison of distinct models, etc. This chapter offers an overview of various computational techniques for pixel-wise and statistical texture similarity evaluation, and discusses psychophysical approaches to making texture-processing algorithms more efficient.

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Authors and Affiliations

  1. Inst. of Information Theory & Automation, Acad. of Sciences of the Czech Republic, Prague, Czech Republic

    Michal Haindl

  2. Inst. of Information Theory & Automation, Acad. of Sciences of the Czech Republic, Pod Vodárenskou věží 4, Prague, 182 08, Czech Republic

    Jiří Filip

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  1. Michal Haindl
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  2. Jiří Filip
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Haindl, M., Filip, J. (2013). Perceptual Validation and Analysis. In: Visual Texture. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-4902-6_9

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  • DOI: https://doi.org/10.1007/978-1-4471-4902-6_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4901-9

  • Online ISBN: 978-1-4471-4902-6

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