Learn More
Face Recognition (FR) systems are increasingly gaining more importance. Face detection and tracking in a complex scene forms the first step in building a practical FR system. In this paper, a method to detect and track human faces in color image sequences is described. Skin color classification and morphological segmentation is used to detect face(s) in the(More)
The performance of content-based image retrieval using low-level visual content has largely been judged to be unsatisfactory. Perceived performance could probably be improved if retrieval were based on higher-level content. However, researchers have not been very successful in bridging what is now called the "semantic gap" between low-level content(More)
Current image indexing methods are based on measures of visual content. However, this approach provides only a partial solution to the image retrieval problem. For example, an artist might want to retrieve an image (for use in an advertising campaign) that evokes a particular “feeling” in the viewer. One technique for measuring evoked feelings, which(More)
Over the last decade researchers have devised algorithms that can provide similarity measures between pairs of face images. These have been somewhat successful in estimating the similarities between face images under controlled conditions. However, those similarity measures do not parallel subjective similarity, as perceived by humans. In some applications(More)
Epidural spinal cord stimulation has been demonstrated to help the recovery of walking abilities of patients with incomplete spinal cord injury when combined with partial weight bearing therapy. However, no work has been done in studying the dynamics of these signals generated with and without stimulation. We show that the underlying dynamics of such(More)
  • 1