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
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;
Conference_Titel :
Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3612-7
DOI :
10.1109/ROBOT.1997.619298
