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I am not able to understand the formula, enter image description here

What is $W$ (window) and intensity in the formula mean,

I found this formula in opencv doc http://docs.opencv.org/trunk/doc/py_tutorials/py_feature2d/py_features_harris/py_features_harris.html

lennon310
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Madan Ram
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  • Read this question about corner detectors: http://dsp.stackexchange.com/questions/10579/how-hessian-feature-detector-works Other related questions: http://dsp.stackexchange.com/questions/11497/harris-corner-detection – visoft Feb 12 '14 at 11:55
  • Similar: http://dsp.stackexchange.com/questions/3336/mathematics-of-harris-corner-point-detection – Niki Estner Feb 12 '14 at 18:12

1 Answers1

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Harris Corner detector tries to quantify the local intensity changes at all the directions for each pixel. The figure below illustrates the basic idea clearly:

enter image description here

So $I(x+u,y+v)$ indicates the pixel intensities of all the neighborhood pixels around $(x,y)$. The window function is applied for feature localization. For most often used Gaussian function, the choice of sigma value corresponds to different feature width in the image.

lennon310
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