The computer model of visual attention derives an interest or saliency map from an input image in a process that encompasses several data combination steps. While several combinati...
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
This paper describes a methodology for using the matrix-vector multiply and scan conversion hardware present in many graphics workstations to rapidly approximate the optical flow ...
Dan S. Wallach, Sharma Kunapalli, Michael F. Cohen
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
In this paper, we present a complete system for automatic face replacement in images. Our system uses a large library of face images created automatically by downloading images fr...
Dmitri Bitouk, Neeraj Kumar, Samreen Dhillon, Pete...