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We present an algorithm to remove wobble artifacts from a video captured with a rolling shutter camera undergoing large accelerations or jitter. We show how estimating the rapid motion of the camera can be posed as a temporal super-resolution problem. The low-frequency measurements are the motions of pixels from one frame to the next. These measurements are modeled as temporal integrals of the underlying...
A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a controlled manner. The CMU PIE database has been very influential in advancing research in face recognition across pose and illumination. Despite its success the PIE database has several shortcomings: a limited number of subjects,...
We propose a new algorithm for recognition of low-resolution faces for cases when multiple images of the same face are available at matching. Specifically, this is the case of multiple-frame, or video, face recognition, and recognition with multiple cameras. Face recognition degrades when probe faces are of lower resolution than those available for training. There are two paradigms to alleviate this...
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