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The Importance of Long-Range Interactions to Texture Similarity

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Computer Analysis of Images and Patterns (CAIP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8047))

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Abstract

We have tested 51 sets of texture features for estimating the perceptual similarity between textures. Our results show that these computational features only agree with human judgments at an average rate of 57.76%. In a second experiment we show that the agreement rates, between humans and computational features, increase when humans are not allowed to use long-range interactions beyond 19×19 pixels. We believe that this experiment provides evidence that humans exploit long-range interactions which are not normally available to computational features.

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Dong, X., Chantler, M.J. (2013). The Importance of Long-Range Interactions to Texture Similarity. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8047. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40261-6_51

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  • DOI: https://doi.org/10.1007/978-3-642-40261-6_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40260-9

  • Online ISBN: 978-3-642-40261-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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