Many activities may be characterized by a sequence of key frames that are related to important changes in motion rather than dominant characteristics that persist over a long seque...
Abstract. When an object moves, it covers and uncovers texture in the background. This pattern of change is sufficient to define the object's shape, velocity, relative depth, ...
Theresa Cooke, Douglas W. Cunningham, Heinrich H. ...
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
We present an interactive algorithm to compute surface distance maps for triangulated models. The distance map represents the distance-to-closest-primitive mapping at each point o...
Avneesh Sud, Naga K. Govindaraju, Russell Gayle, E...