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
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537447