百叶窗
卷帘
计算机视觉
计算机科学
校准
人工智能
失真(音乐)
焦距
计算机图形学(图像)
摄像机切除
摄像机自动校准
作者
Luc Oth,Paul Furgale,Laurent Kneip,Roland Siegwart
出处
期刊:Computer Vision and Pattern Recognition
日期:2013-06-23
卷期号:: 1360-1367
被引量:59
标识
DOI:10.1109/cvpr.2013.179
摘要
Rolling Shutter (RS) cameras are used across a wide range of consumer electronic devices-from smart-phones to high-end cameras. It is well known, that if a RS camera is used with a moving camera or scene, significant image distortions are introduced. The quality or even success of structure from motion on rolling shutter images requires the usual intrinsic parameters such as focal length and distortion coefficients as well as accurate modelling of the shutter timing. The current state-of-the-art technique for calibrating the shutter timings requires specialised hardware. We present a new method that only requires video of a known calibration pattern. Experimental results on over 60 real datasets show that our method is more accurate than the current state of the art.
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