Title :
Stereo correspondence from motion correspondence
Author :
Dornaika, F. ; Chung, R.
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Abstract :
This paper introduces a new framework for stereo correspondence recovery using one motion of a stereo rig. Both the stereo correspondence and the motion of the stereo rig are unknown. By combining the stereo geometry and the motion correspondence we are able to infer the stereo correspondence from motion correspondence without having to systematically use the intensity-based stereo matching algorithms. The stereo correspondence recovery consists of two consecutive steps: the first step uses metric data associated with the stereo rig while the second step uses feature correspondences only. Experiments involving real stereo pairs indicate the feasibility and robustness of the approach
Keywords :
computer vision; motion estimation; stereo image processing; feature correspondences; motion correspondence; stereo correspondence recovery; stereo geometry; stereo matching; stereo pairs; Application software; Cameras; Computer vision; Geometry; Image reconstruction; Layout; Navigation; Robotics and automation; Robustness; Stereo vision;
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0149-4
DOI :
10.1109/CVPR.1999.786919