Title :
A quantitative comparison of 4 algorithms for recovering dense accurate depth
Author :
Tian, Baozhong ; Barron, John L.
Author_Institution :
Dept. of Comput. Sci., Western Ontario Univ., London, Ont., Canada
Abstract :
We report on four algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate intensity derivatives or optical flow over time to increase accuracy.
Keywords :
Kalman filters; cameras; image sequences; Kalman filter; camera motion; dense accurate depth; image sequence; intensity derivative; optical flow; Computer vision; Robot vision systems;
Conference_Titel :
Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
Print_ISBN :
0-7695-2319-6
DOI :
10.1109/CRV.2005.11
