A physical approach to color image understanding
International Journal of Computer Vision
Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
A Theory of Specular Surface Geometry
International Journal of Computer Vision
Rendering with radiance: the art and science of lighting visualization
Rendering with radiance: the art and science of lighting visualization
NETLAB: algorithms for pattern recognition
NETLAB: algorithms for pattern recognition
Separating Reflection Components of Textured Surfaces Using a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Specular Flow and the Recovery of Surface Structure
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Rapid Inference of Object Rigidity and Reflectance Using Optic Flow
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Dichromatic reflection separation from a single image
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Hi-index | 0.01 |
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.