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Definition
The 8-point algorithm is a linear technique to estimate the essential matrix or the fundamental matrix from eight or more point correspondences.
Background
When dealing with multiple images, it is essential to determine the relative geometry between them, which is known as the epipolar geometry. Between two images of a scene, given a pair of corresponding image points \((\vec{{m}}_{i},\vec{{m}}_{i}\prime)\), the following epipolar constraint must be satisfied:
where \(\widetilde{\vec{{m}}}_{i} = \left [\begin{array}{*{10}c} \vec{{m}}_{i} \\ 1 \end{array} \right ]\) is point \(\vec{{m}}_{i}\) in homogeneous coordinates. Similarly, \(\widetilde{\vec{{m}}}_{i}\prime\) is point \(\vec{{m}}_{i}\prime\) in homogeneous coordinates. Matrix \(\mathbf{M}\)is a 3 ×3 matrix. If the images are calibrated with known...
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References
Hartley R (1997) In defense of the eight-point algorithm. IEEE Trans Pattern Anal Mach Intell 19(6):580–593
Faugeras O, Luong QT, Papadopoulo T (2001) The geometry of multiple images. MIT, Cambridge
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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 (1997) Motion and structure from two perspective views: from essential parameters to euclidean motion via fundamental matrix. J Opt Soc Am A 14(11): 2938–2950
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Zhang, Z. (2014). Eight-Point Algorithm. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_156
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DOI: https://doi.org/10.1007/978-0-387-31439-6_156
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