Peer-to-peer computing paradigm is emerging as a scalable and robust model for sharing media objects. In this paper, we propose an architecture and describe the associated algorit...
We describe results on combining depth information from a laser range-finder and color and texture image cues to segment ill-structured dirt, gravel, and asphalt roads as input t...
Modelling by analogy has become a powerful paradigm for editing images. Using a pair of before- and afterexample images of a transformation, a system that models by analogy produc...
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours whi...
Liana M. Lorigo, W. Eric L. Grimson, Olivier D. Fa...
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...