Rotating sensor-matrix camera calibration
Fay Huang, Reinhard Klette, Ju-Chi Tien, Yin-Wei Chang
- 发表年份
- 2010
- 引用次数
- 4
摘要
Panoramic images and panoramic cameras (or sensors) are of increasing importance for various applications in computer vision, computer graphics, visualization, and robotics. Various panoramic image capturing sensors have been developed for different purposes. But many of the sensing devices do not support stereo visualization. This paper reviews a methodology for stereo panorama acquisition using a widely available digital matrix camera. Two sensor parameters, off-axis distance and principle angle, are critical to achieving high quality stereo visualization. In this paper, a new camera calibration method will be presented, which supports accurate estimations of these two essential parameters. To our best knowledge, there is no other camera calibration method published so far for such a purpose.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002