DocumentCode
315525
Title
Depth estimation from a sequence of images using spherical projection
Author
Hanmandlu, M. ; Shantaram, V. ; Sudheer, K.
Author_Institution
Dept. of Electr. Eng., IIT, New Delhi, India
Volume
3
fYear
1997
fDate
20-25 Apr 1997
Firstpage
2264
Abstract
A recursive estimation of depth from a sequence of images is proposed. Using the spherical projection, a simple equation is derived that relates image motion with the object motion. This equation is reformulated into a dynamical state space model for which Kalman filter can be easily applied to yield the estimate of depth. Point correspondences have been used to obtain feature points and the motion parameters are assumed to be known. The results are illustrated on a real object
Keywords
Kalman filters; computer vision; image sequences; motion estimation; recursive estimation; state-space methods; Kalman filter; computer vision; depth estimation; image motion; image sequence; object motion; point correspondences; recursive estimation; spherical projection; state space model; Equations; Image analysis; Image motion analysis; Image reconstruction; Image sequences; Motion analysis; Motion estimation; Recursive estimation; State estimation; Stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on
Conference_Location
Albuquerque, NM
Print_ISBN
0-7803-3612-7
Type
conf
DOI
10.1109/ROBOT.1997.619298
Filename
619298
Link To Document