Title :
Rotating sensor-matrix camera calibration
Author :
Huang, Fay ; Klette, Reinhard ; Tien, Ju-Chi ; Chang, Yin-Wei
Author_Institution :
Inst. of Comput. Sci. & Inf. Eng., Nat. Ilan Univ., Yi-Lan, Taiwan
Abstract :
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.
Keywords :
calibration; cameras; data visualisation; image sensors; matrix algebra; stereo image processing; camera calibration method; computer graphics; computer vision; digital matrix camera; off-axis distance; panoramic cameras; panoramic image capturing sensors; panoramic images; panoramic sensors; principle angle; robotics; rotating sensor-matrix camera calibration; sensing devices; sensor parameters; stereo panorama acquisition; stereo visualization; Calibration; Cameras; Equations; Image segmentation; Stereo vision; Three dimensional displays; Visualization; Camera Calibration; Panoramic Imaging; Stereo Panorama;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5651911