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      • Faculty of Economics, Administrative And Social Sciences
      • Department of Psychology
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      Rapid classification of surface reflectance from image velocities

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      Author
      Doerschner, Katja
      Kersten, D.
      Schrater P.
      Date
      2009
      Source Title
      Computer Analysis of Images and Patterns
      Print ISSN
      0302-9743
      Publisher
      Springer, Berlin, Heidelberg
      Volume
      5702
      Pages
      856 - 864
      Language
      English
      Type
      Conference Paper
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      Abstract
      We propose a method for rapidly classifying surface reflectance directly from the output of spatio-temporal filters applied to an image sequence of rotating objects. Using image data from only a single frame, we compute histograms of image velocities and classify these as being generated by a specular or a diffusely reflecting object. Exploiting characteristics of material-specific image velocities we show that our classification approach can predict the reflectance of novel 3D objects, as well as human perception. © 2009 Springer Berlin Heidelberg.
      Keywords
      Material perception
      Rapid surface reflectance classification
      Spatio-temporal filtering
      Specular flow
      Velocity histogram
      3D object
      Classification approach
      Human perception
      Image data
      Image sequence
      Image velocity
      Rapid surface reflectance classification
      Rotating objects
      Spatio-temporal filter
      Spatio-temporal filtering
      Specular flow
      Surface reflectance
      Velocity histogram
      Image analysis
      Reflection
      Surfaces
      Three dimensional
      Velocity
      Object recognition
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      http://hdl.handle.net/11693/26733
      Published Version (Please cite this version)
      http://dx.doi.org/10.1007/978-3-642-03767-2_104
      https://doi.org/10.1007/978-3-642-03767-2
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      • Department of Psychology 167
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