Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
In low-light conditions, it is known that Poisson noise and quantization noise become dominant sources of noise. While intensity difference is usually measured by Euclidean distanc...
The effectiveness of direct volume rendering is difficult to validate and users may not know whether they have successfully explored the data or not. This limits its applications....
Existing surgical simulators provide a physical simulation that can help a trainee develop the hand-eye coordination and motor skills necessary for specific tasks, such as cutting ...
Christopher Sewell, Dan Morris, Nikolas H. Blevins...