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.
Original language | English (US) |
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Title of host publication | Computer Analysis of Images and Patterns - 13th International Conference, CAIP 2009, Proceedings |
Pages | 856-864 |
Number of pages | 9 |
DOIs | |
State | Published - 2009 |
Event | 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 - Munster, Germany Duration: Sep 2 2009 → Sep 4 2009 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 5702 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 |
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Country/Territory | Germany |
City | Munster |
Period | 9/2/09 → 9/4/09 |
Bibliographical note
Funding Information:KD has been supported by an EC FP7 Marie Curie IRG-239494. Further funding was provided by an NIH RO1 EY015261.
Keywords
- Material perception
- Rapid surface reflectance classification
- Spatio-temporal filtering
- Specular flow
- Velocity histogram