Title :
Direct estimation of structure from nonlinear motion by voting algorithm without tracking and matching
Author :
Hamano, Teruo ; Yasuno, Takayuki ; Ishii, Kenichiro
Author_Institution :
Human Interface Labs., NTT Corp., Kanagawa, Japan
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents a robust approach to estimate structure from an image sequence taken by a moving camera. This approach is based on a Hough-type weighted voting algorithm and has the following features: (1) needs no feature tracking and no image-to-image matching; and (2) allows arbitrary nonlinear motion of camera. Experimental results using actual complex scenes are presented
Keywords :
computer vision; image processing; mobile robots; Hough-type weighted voting; complex scenes; image sequence; moving camera; nonlinear motion; voting algorithm; Cameras; Computer vision; Layout; Mobile robots; Motion estimation; Remotely operated vehicles; Robot vision systems; Spatiotemporal phenomena; Tracking; Voting;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201610
