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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2015

The 3D trajectory of the ball is one of the most important performance indicators in ball games. However, it often cannot be…

2008

In this paper, we propose a new approach for obstacle detection based on the analysis of images taken by uncalibrated stereo rig…

2008

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

2002

Plane detection is a prerequisite to a wide variety of vision tasks. This paper proposes a novel method that exploits results…

2001

The fundamental matrix (F-matrix) based substrate mesh reduction technique is incorporated in a chip-level substrate noise…

1999

We present a novel algorithm performing projective rectification which does not require explicit computation of the epipolar…

1998

The paper proposes a robust feature tracker based on an efficient outlier rejection scheme, suitable for feature tracking in…

1995

Reconstruction of 3D space from 2D images is generally a \2-view" problem. That is, the algebra and geometry of the problem is…

1993

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

1983

Millionkikov's Accessibility Theorem for the central Lyapunov exponent of a linear ODE system is extended to simultaneous…