Doerschner, KatjaKersten, D.Schrater P.2016-02-082016-02-0820090302-9743http://hdl.handle.net/11693/26733Conference name: 13th International Conference, CAIP 2009Date of Conference: September 2-4, 2009We 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.EnglishMaterial perceptionRapid surface reflectance classificationSpatio-temporal filteringSpecular flowVelocity histogram3D objectClassification approachHuman perceptionImage dataImage sequenceImage velocityRapid surface reflectance classificationRotating objectsSpatio-temporal filterSpatio-temporal filteringSpecular flowSurface reflectanceVelocity histogramImage analysisReflectionSurfacesThree dimensionalVelocityObject recognitionConference Paper10.1007/978-3-642-03767-2_10410.1007/978-3-642-03767-2