DocumentCode :
2996179
Title :
Motion and structure from an orthographic and a perspective image
Author :
Su Ma ; Qiao-Ying Dong ; Man-Tun Gao
Author_Institution :
Coll. of Comput. Sci., Xian Polytech. Univ., Xian
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
833
Lastpage :
837
Abstract :
Previous work in structure from motion focused either on two (or more) perspective images or on a set of orthographic (more generally, affine) images. But the studies which are imperative in practice about structure from motion using combination of perspective and orthographic images are seldom seen. This paper presented an investigation on it. Simplified epipolar geometry and a linear algorithm were presented to recover 3D motion and structure between one perspective and one orthographic image from point correspondence. Experiments with artificial data and synthetic images showed that the performance of our technique is effective and stable.
Keywords :
computer vision; image motion analysis; 3D motion; linear algorithm; orthographic image; perspective image; simplified epipolar geometry; Automation; Cameras; Computer vision; Educational institutions; Equations; Geometry; Least squares approximation; Mechatronics; Motion estimation; Robot vision systems; computer vision; feature point correspondence; motion and structure; orthographic image; perspective image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636265
Filename :
4636265
Link To Document :
بازگشت