Determining the Epipolar Geometry and its Uncertainty: A Review
Year: 1996
Type: article
Abstract: Two images of a single scene/object are related by the epipolar geometry, which can be described by a 3x3 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 softwares which we have developed for this review are available on the Internet.
Authors: Zhengyou Zhang, Projet Robotvis
Language: English
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7046283970