Generating Sharp Panoramas from Motion-blurred Videos

被引：37

作者：

Li, Yunpeng ^{[1
]}

Kang, Sing Bing ^{[2
]}

Joshi, Neel ^{[2
]}

Seitz, Steve M. ^{[3
]}

Huttenlocher, Daniel P. ^{[1
]}

机构：

[1] Cornell Univ, Ithaca, NY 14853 USA

[2] Microsoft Res, Redmond, WA 98052 USA

[3] Univ Washington, Seattle, WA 98195 USA

来源：

2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2010年

关键词：

D O I：

10.1109/CVPR.2010.5539938

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2424 / 2431

页数：8