We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical flow benchmark. The typical formulation, however...
ct expressions, and different head orientations. In this paper, we introduce a new approach for realtime 3D face pose discrimination based on active IR illumination from a monocula...
Accurately describing interactions between medical devices and anatomical structures, or between anatomical structures themselves, is an essential step towards the adoption of comp...