Abstract We present a novel algorithm for efficiently removing rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration-free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under varying focal lengths, as in […]
Our following paper was just awarded the Excellent Paper for 2011 in Computer Vision by Google Research. Casually shot videos captured by handheld or mobile cameras suffer from significant amount of shake. Existing in-camera stabilization methods dampen high-frequency jitter but do not suppress low-frequency movements and bounces, such as those observed in videos captured by […]
Via Georgia Tech School of Interactive Computing‘s Website > Essa, Egerstedt Named IEEE Fellows. The IEEE Board of Directors has elected professors Irfan Essa and Magnus Egerstedt (both Interactive Computing) as Fellows in its Class of 2012. Essa is a professor whose research focus is in computer vision, computer graphics, computational perception, robotics and computer animation. In his […]
Congratulations to Matthias Grundmann, winner of the Google PhD Fellowship in Computer Vision for 2012. via PhD Fellowships – Google Research. Google PhD Fellowship Program Overview Nurturing and maintaining strong relations with the academic community is a top priority at Google. The Google U.S./Canada PhD Student Fellowship Program was created to recognize outstanding graduate students […]
