DocumentCode
2022731
Title
Recursive depth estimation from a sequence of images
Author
Shantaram, V. ; Hanmandlu, M.
Author_Institution
Caribbean Inst. of Technol., Montego Bay, Jamaica
fYear
2000
fDate
2000
Firstpage
201
Lastpage
206
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
0-7695-0540-6
Type
conf
DOI
10.1109/ITCC.2000.844211
Filename
844211
Link To Document