Title :
Recursive depth estimation from a sequence of images
Author :
Shantaram, V. ; Hanmandlu, M.
Author_Institution :
Caribbean Inst. of Technol., Montego Bay, Jamaica
Abstract :
This paper gives the theoretical framework for recursively estimating the depth and motion parameters from the image motion equation derived using the spherical projection. An extended Kalman filter is employed for estimation. Results have been found to be encouraging in some cases when applied on two case studies involving vase and cube respectively
Keywords :
Kalman filters; filtering theory; image sequences; motion estimation; recursive estimation; depth estimation; extended Kalman filter; image motion equation; image sequences; motion estimation; motion parameters; parameter estimation; recursive estimation; spherical projection; Angular velocity; Differential equations; Kalman filters; Motion estimation; Q measurement; Recursive estimation;
Conference_Titel :
Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-0540-6
DOI :
10.1109/ITCC.2000.844211
