Title :
Linear epipolar algorithm for multiframe orientation
Author_Institution :
MIT, Cambridge, MA, USA
Abstract :
The use of multiple images to perform scene reconstruction and camera position and orientation recovery is of practical importance for many computer vision tasks. This paper describes a fast and approximate batch algorithm for the determination of multiple camera positions and orientations from feature point data. The singular value decomposition is used extensively, providing a fast motion recovery method that avoids the iterative optimization procedures common to multiframe motion recovery approaches
Keywords :
computer vision; feature extraction; image motion analysis; image reconstruction; singular value decomposition; approximate batch algorithm; camera orientation recovery; camera position recovery; computer vision; fast motion recovery method; feature point data; linear epipolar algorithm; motion recovery; multiframe orientation; multiple images; scene reconstruction; singular value decomposition; Cameras; Computer vision; Image reconstruction; Iterative algorithms; Iterative methods; Layout; Motion estimation; Null space; Optimization methods; Singular value decomposition;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.901019
