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Fundamental Matrix

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Computer Vision
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Related Concepts

Epipolar Geometry; Essential Matrix

Definition

Fundamental matrix is a special 3 ×3 matrix which captures the geometric relationship between two cameras or between two locations of a single moving camera.

Background

See entry Epipolar Geometry for details.

Theory

If two points \(\boldsymbol{m}\) and \(\boldsymbol{m}\prime\), expressed in pixel image coordinates in the first and second camera, are in correspondence, they must satisfy the following equation

$$\widetilde{\boldsymbol{{m}}}^{T}\mathbf{F}\widetilde{\boldsymbol{m}}\prime = 0\;,$$
(1)

where

$$\displaystyle\begin{array}{rcl} \mathbf{F}& =&{ \mathbf{A}}^{-T}\mathbf{E}\mathbf{{A\prime}^{-1}}\;,\end{array}$$
(2)
$$\displaystyle\begin{array}{rcl} \mathbf{E}& =& [\boldsymbol{t}]_{\times }\mathbf{R}\;,\end{array}$$
(3)

A and A′ are respectively the intrinsic matrix of the first and second camera, and \((\mathbf{R},\boldsymbol{t})\)is the rigid transformation between the first and second camera. This is a...

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References

  1. Zhang Z (1998) Determining the epipolar geometry and its uncertainty: a review. Int J Comput Vis 27(2):161–195

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Zhang, Z. (2014). Fundamental Matrix. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_131

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