DocumentCode
2598228
Title
Stereopsis and image registration from extended edge features in the absence of camera pose information
Author
Vaidya, N.M. ; Boyer, K.L.
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fYear
1991
fDate
3-6 Jun 1991
Firstpage
76
Lastpage
82
Abstract
The authors solve the stereo correspondence problem in uncalibrated domains using extended edge contours as a source of primitives, as opposed to traditional point-based algorithms. This work represents a novel approach to implementation of the structural stereopsis concept of K.L. Boyr and A.C. Kak (1988), in particular with regard to speed. Judiciously exploiting the contiguity relation among primitives, correspondence solutions without prior knowledge of the epipolar condition for feature-rich stereopairs, previously requiring several days of processing by the Boyer and Kak algorithm are now acquired in tens of seconds on the same equipment
Keywords
computer vision; computerised pattern recognition; computerised picture processing; camera pose information; contiguity relation; extended edge contours; extended edge features; image registration; stereo correspondence problem; uncalibrated domains; Calibration; Cameras; Geometry; Image registration; Laboratories; Layout; Robot vision systems; Robotics and automation; Signal analysis; Stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location
Maui, HI
ISSN
1063-6919
Print_ISBN
0-8186-2148-6
Type
conf
DOI
10.1109/CVPR.1991.139664
Filename
139664
Link To Document