Recovering epipolar geometry in 3-D vision systems

Toni F. Schenk; Charles K. Toth

doi:10.1117/12.46295

1 August 1991 Recovering epipolar geometry in 3-D vision systems

Toni F. Schenk, Charles K. Toth

Proceedings Volume 1457, Stereoscopic Displays and Applications II; (1991) https://doi.org/10.1117/12.46295
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

Abstract

Many stereovision algorithms are based on the assumption that the images are registered in epipolar geometry. This requires that the two cameras of a vision system are aligned such that the camera axes are parallel and also perpendicular to the camera base. Initially, the cameras of a moving robot may be perfectly aligned, but this condition is likely to change in time. It is argued that the camera positions should be periodically surveyed and, if necessary, readjusted. The camera positions can be determined by an automatic orientation. In this paper, a method to compute the epipolar geometry from known camera positions is described. After defining the problem, the authors derive algorithms to resample the original images such that they satisfy the condition of epipolar geometry.

Citation Download Citation

Toni F. Schenk and Charles K. Toth "Recovering epipolar geometry in 3-D vision systems", Proc. SPIE 1457, Stereoscopic Displays and Applications II, (1 August 1991); https://doi.org/10.1117/12.46295

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available