Title :
Dense depth maps from motion using dynamic data fusion
Author :
Corbatto, M. ; Tinonin, S. ; Trucco, E. ; Roberto, V.
Author_Institution :
Udine Univ., Italy
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;
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
DOI :
10.1049/cp:19950639
