Title :
Temporally integrated surface reconstruction
Author_Institution :
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Abstract :
A solution is presented to the problem of obtaining and improving an estimate of the 3-D structure of a scene from a sequence of images. The algorithm, which combines single-frame reconstruction techniques and multiple-frame Kalman filtering, is tested on a variety of real motion image sequences
Keywords :
Kalman filters; computer vision; computerised picture processing; 3-D structure; multiple-frame Kalman filtering; real motion image sequences; single-frame reconstruction; temporally integrated surface reconstruction; Artificial intelligence; Computer vision; Filtering algorithms; Image reconstruction; Image sequences; Laboratories; Layout; Recursive estimation; Surface reconstruction; Testing;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139534
