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Merge pull request #9127 from willbrazil:master
Fix typo in harris corner detection tutorial.
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@ -43,7 +43,7 @@ In this tutorial we will study the *corner* features, specifically.
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- Let's look for corners. Since corners represents a variation in the gradient in the image, we
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will look for this "variation".
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- Consider a grayscale image \f$I\f$. We are going to sweep a window \f$w(x,y)\f$ (with displacements \f$u\f$
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in the x direction and \f$v\f$ in the right direction) \f$I\f$ and will calculate the variation of
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in the x direction and \f$v\f$ in the y direction) \f$I\f$ and will calculate the variation of
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intensity.
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\f[E(u,v) = \sum _{x,y} w(x,y)[ I(x+u,y+v) - I(x,y)]^{2}\f]
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