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Determining the Epipolar Geometry and its Uncertainty: A Review (1998)
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| Venue: | International Journal of Computer Vision |
| Citations: | 401 - 9 self |
BibTeX
@ARTICLE{Zhang98determiningthe,
author = {Zhengyou Zhang and T. Kanade},
title = {Determining the Epipolar Geometry and its Uncertainty: A Review},
journal = {International Journal of Computer Vision},
year = {1998},
volume = {27},
pages = {161--195}
}
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Abstract
Two images of a single scene/object are related by the epipolar geometry, which can be described by a 3×3 singular matrix called the essential matrix if images' internal parameters are known, or the fundamental matrix otherwise. It captures all geometric information contained in two images, and its determination is very important in many applications such as scene modeling and vehicle navigation. This paper gives an introduction to the epipolar geometry, and provides a complete review of the current techniques for estimating the fundamental matrix and its uncertainty. A well-founded measure is proposed to compare these techniques. Projective reconstruction is also reviewed. The software which we have developed for this review is available on the Internet.
