Doerschner, K.Kersten, D.Schrater, P. R.2019-02-062019-02-062011-090031-3203http://hdl.handle.net/11693/48917We propose a method for rapidly classifying surface reflectance directly from the output of spatiotemporal 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.EnglishMaterial perceptionRapid surface reflectance classificationSpatio-temporal filteringSpecular flowVelocity histogramArticle10.1016/j.patcog.2010.09.0071873-5142