Title :
A geometric constraint method for estimating 3-D camera motion
Author :
Burger, Wilhelm ; Bhanu, Bir
Abstract :
We investigate the problem of estimating the camera motion parameters from a 2D image sequence that has been obtained under combined 3D camera translation and rotation. Geometrical constraints in 2D are used to iteratively narrow down regions of possible values in the space of 3D motion parameters. The approach is based on a new concept called “FOE-feasibility” of an image region, for which an efficient algorithm has been implemented. Results are shown on real images
Keywords :
computational geometry; computer vision; image sequences; motion estimation; 2D image sequence; 3D camera rotation; 3D camera translation; 3D motion parameters; camera motion parameters; focus of expansion; geometric constraint method; geometrical constraints; Application software; Cameras; Computer vision; Displacement measurement; Image sequences; Iterative algorithms; Layout; Mobile robots; Motion estimation; Robot vision systems;
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
DOI :
10.1109/ROBOT.1994.351205
