We propose a framework for exploiting dimension-reducing random projections in detection and classification problems. Our approach is based on the generalized likelihood ratio te...
Marco F. Duarte, Mark A. Davenport, Michael B. Wak...
We present a new method for the detection and estimation of multiple directional illuminants, using a single image of any object with known geometry and Lambertian reflectance. W...
Synthetic images can be parameterized by more than time or viewpoint. We generalize image-based rendering by exploiting texture-mapping graphics hardware to decompress ray-traced ...
Ziyad S. Hakura, Jerome Edward Lengyel, John M. Sn...
This paper presents a novel automatic method for view synthesis (or image transfer) from a triplet of uncalibrated images based on trinocular edge matching followed by transfer by...
Stephen Pollard, Maurizio Pilu, Sean Hayes, Adele ...
In a visualization of a three-dimensional dataset, the insights gained are dependent on what is occluded and what is not. Suggestion of interesting viewpoints can improve both the...