Title :
Error analysis of pure rotation-based self-calibration
Author :
Wang, Lei ; Kang, Sing Bing ; Shum, Heung-Yeung ; Xu, Guangyou
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
Self-calibration using pure rotation is a well-known technique, and has been shown to be a reliable means for recovering intrinsic camera parameters. However, in practice, it is virtually impossible to ensure that the camera motion for this type of self-calibration is a pure rotation. In this paper we present an error analysis of recovered intrinsic camera parameters due to the presence of translation. We derived closed-form error expressions for a single pair of images with non-degenerate motion; for multiple rotations, for which there are no closed-form solutions, analysis was done through repeated experiments. Among others, we show that translation-independent solutions do exist under certain practical conditions
Keywords :
calibration; error analysis; feature extraction; error analysis; intrinsic camera parameters; rotation-based; self-calibration; Calibration; Cameras; Closed-form solution; Error analysis; Feature extraction; Image analysis; Image motion analysis; Independent component analysis; Layout; Motion analysis;
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Print_ISBN :
0-7695-1143-0
DOI :
10.1109/ICCV.2001.937553