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Harris_Corner_Detection/README.md

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=>The idea behind the Harris method is to detect points based on the intensity variation in a localneighborhood: a small region around the feature should showa large intensity change when comparedwith windows shifted in any direction.
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cv2.cornerHarris(src, blockSize, ksize, k)
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Parameters Explained:
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src – Input single-channel 8-bit or floating-point image.
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dst – Image to store the Harris detector responses. It has the type CV_32FC1 and the same size as src .
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blockSize – Neighborhood size (see the details on cornerEigenValsAndVecs() ).
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ksize – Aperture parameter for the Sobel() operator.
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k – Harris detector free parameter.
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For better understanding refer to this pdf:
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http://www.cse.psu.edu/~rtc12/CSE486/lecture06.pdf

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