1 August 1991 Recovering epipolar geometry in 3-D vision systems
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Toni F. Schenk, Toni F. Schenk, Charles K. Toth, Charles K. Toth, } "Recovering epipolar geometry in 3-D vision systems", Proc. SPIE 1457, Stereoscopic Displays and Applications II, (1 August 1991); doi: 10.1117/12.46295; https://doi.org/10.1117/12.46295


In memoriam: Fumio Okano, innovator of 3D display
Proceedings of SPIE (June 04 2014)
Imaging technique for washed-out ink inscriptions on vellum
Proceedings of SPIE (November 22 2011)
The Dynamic Floating Window a new creative tool for...
Proceedings of SPIE (February 15 2011)
Intensity-based stereo vision: from 3D to 3D
Proceedings of SPIE (October 12 1994)
Versatile stereoscopic line-scan imaging systems
Proceedings of SPIE (May 04 1994)

Back to Top