Determining the Epipolar Geometry and its Uncertainty: A Review

Determining the Epipolar Geometry and its Uncertainty: A Review (1998)

by Zhengyou Zhang , T. Kanade

Venue:	International Journal of Computer Vision
Citations:	260 - 7 self

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Datum	Value	Source
TITLE	Determining the Epipolar Geometry and its Uncertainty: A Review	user correction - Legacy Corrections
AUTHOR NAME	Zhengyou Zhang	SVM HeaderParse 0.1
AUTHOR ADDR	INRIA, 2004 route des Lucioles, BP 93, F-06902 Sophia-Antipolis Cedex, France	SVM HeaderParse 0.1
AUTHOR NAME	T. Kanade	SVM HeaderParse 0.1
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.	user correction - Legacy Corrections
YEAR	1998	INFERENCE
VENUE	International Journal of Computer Vision	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	161--195	INFERENCE
VOLUME	27	INFERENCE
CITATIONS	16 found	ParsCit 1.0