Fundamental matrix (computer vision)

Known as: Bifocal tensor, Fundamental matrix, Projective reconstruction theorem

In computer vision, the fundamental matrix is a 3×3 matrix which relates corresponding points in stereo images. In epipolar geometry, with…

Papers overview

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2011

Noise simulation of oscillators modeled in an analog mixed signal environment is challenging since both conventional steady-state…

2008

This paper deals with the study of dichotomy and conditioning for two-point boundary value problems associated with first order…

2006

2005

We propose a factorization method for structure from planar motion using a stationary perspective camera. Compared with [A…

2004

Three-dimensional (3-D) object models are currently used in CAD/CAM, robotics, remote sensing, etc. The models (images) can be…

2003

This paper presents a self-calibration technique for a camera mounted on an underwater vehicle designed to perform the 3D…

2002

This paper describes a novel technique for synthesizing a dynamic scene from two images without the use of a 3D model. A scene…

Highly Cited

1996

Highly Cited

1996

The question of which views map be inferred from a set of basis images is addressed. Under certain conditions, a discrete set of…

1995

This paper addresses the problem of computing the fundamental matrix which describes a geometric relationship between a pair of…

1993

Families of Matrix-valued analytic functions W(p,P) depending on two parameters p and P are introduced. These include as special…