DocumentCode
301178
Title
Binocular estimation of motion and structure from long sequences using optical flow without correspondence
Author
Barron, J.L. ; Eagleson, R.
Author_Institution
Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
Volume
2
fYear
1995
fDate
23-26 Oct 1995
Firstpage
193
Abstract
We use the left and right monocular motion and structure parameters of two stereo image sequences (direction of translation, relative depth, observer rotation and rotational acceleration) to compute the absolute depth, absolute translation and absolute translational acceleration for each pair of left and right images. Individual translation parameters computed at each frame are integrated over time using a Kalman filter to provide more accuracy and a “best” estimate of the absolute translation at each time
Keywords
Kalman filters; filtering theory; image sequences; motion estimation; parameter estimation; stereo image processing; Kalman filter; absolute depth; absolute translation; absolute translational acceleration; binocular estimation; binocular motion; frame; left images; left monocular motion; long sequences; observer rotation; optical flow; relative depth; right images; right monocular motion; rotational acceleration; stereo image sequences; structure parameters; translation direction; translation parameters; Acceleration; Computer science; Equations; Image motion analysis; Image sequences; Linear systems; Motion estimation; Optical computing; Optical filters; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1995. Proceedings., International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-7310-9
Type
conf
DOI
10.1109/ICIP.1995.537447
Filename
537447
Link To Document