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.
Bibliographical noteFunding Information:
KD has been supported by an EC FP7 Marie Curie IRG-239494. Further funding was provided by an NIH RO1 EY015261.
Copyright 2011 Elsevier B.V., All rights reserved.
- Material perception
- Rapid surface reflectance classification
- Spatio-temporal filtering
- Specular flow
- Velocity histogram