Generating Sharp Panoramas from Motion-blurred Videos

In this paper, we show how to generate a sharp panorama from a set of motion-blurred video frames. Our technique is based on joint global motion estimation and multi-frame deblurring. It also automatically computes the duty cycle of the video, namely the percentage of time between frames that is actually exposure time. The duty cycle is necessary for allowing the blur kernels to be accurately extracted and then removed. We demonstrate our technique on a number of videos.

• Type: Conference
• Year: 2010
• Where: CVPR
• Authors: Yunpeng Li, Sing Bing Kang, Neel Joshi, Steve Seitz, Dan Huttenlocher
• Keywords: Computer Vision, CVPR 2010, Duty Cycle, Global Motion Estimation, Motion-blurred Video Frames