DocumentCode
3165874
Title
Dense depth maps from motion using dynamic data fusion
Author
Corbatto, M. ; Tinonin, S. ; Trucco, E. ; Roberto, V.
Author_Institution
Udine Univ., Italy
fYear
1995
fDate
4-6 Jul 1995
Firstpage
153
Lastpage
157
Abstract
This paper concentrates on the estimation of dense depth maps from sequences of frames acquired by a sensor in controlled motion. It addresses the computation of optic flows at each instant as well as the dynamic fusion of estimates in time via Kalman filtering. Examples of experimental tests are included
Keywords
Kalman filters; filtering theory; image sequences; motion estimation; sensor fusion; Kalman filtering; camera motion; controlled motion; dense depth maps; depth estimates; dynamic data fusion; experimental tests; frames; image sequences; motion estimation; optic flows;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-642-3
Type
conf
DOI
10.1049/cp:19950639
Filename
465592
Link To Document