We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
We describe a VRML/Java-based virtual environment that is populated with heterogeneous articulated agents. In this simulated environment, agents compete for collecting certain obj...
This work explores how the availability of visual and haptic feedback affects the kinematics of reaching performance in a tabletop virtual environment. Eight subjects performed re...
Andrea H. Mason, Masuma A. Walji, Elaine J. Lee, C...
New cameras are installed daily all around the world. Hence it becomes increasingly important to develop methods for reducing the manual effort that is still required for video ana...