Showing content from http://www.arrayfire.org/docs/group__cv__func__harris.htm below:
ArrayFire: harris
Harris corner detector. More...
AFAPI features harris (const array &in, const unsigned max_corners=500, const float min_response=1e5f, const float sigma=1.f, const unsigned block_size=0, const float k_thr=0.04f) C++ Interface for Harris corner detector. More...
AFAPI af_err af_harris (af_features *out, const af_array in, const unsigned max_corners, const float min_response, const float sigma, const unsigned block_size, const float k_thr) C Interface for Harris corner detector. More...
Harris corner detector.
Compute corners using the Harris corner detector approach. For each pixel, a small window is used to calculate the determinant and trace of such a window, from which a response is calculated. Pixels are considered corners if they are local maximas and have a high positive response.
◆ af_harris() AFAPI af_err af_harris ( af_features * out, const af_array in, const unsigned max_corners, const float min_response, const float sigma, const unsigned block_size, const float k_thr )
C Interface for Harris corner detector.
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Parameters
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[out] out struct containing arrays for x and y coordinates and score (Harris response), while arrays orientation and size are set to 0 and 1, respectively, because Harris does not compute that information [in] in array containing a grayscale image (color images are not supported) [in] max_corners maximum number of corners to keep, only retains those with highest Harris responses [in] min_response minimum response in order for a corner to be retained, only used if max_corners = 0 [in] sigma the standard deviation of a circular window (its dimensions will be calculated according to the standard deviation), the covariation matrix will be calculated to a circular neighborhood of this standard deviation (only used when block_size == 0, must be >= 0.5f and <= 5.0f) [in] block_size square window size, the covariation matrix will be calculated to a square neighborhood of this size (must be >= 3 and <= 31) [in] k_thr Harris constant, usually set empirically to 0.04f (must be >= 0.01f)
◆ harris() AFAPI features harris ( const array & in, const unsigned max_corners = 500, const float min_response = 1e5f, const float sigma = 1.f, const unsigned block_size = 0, const float k_thr = 0.04f )
C++ Interface for Harris corner detector.
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Parameters
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[in] in array containing a grayscale image (color images are not supported) [in] max_corners maximum number of corners to keep, only retains those with highest Harris responses [in] min_response minimum response in order for a corner to be retained, only used if max_corners = 0 [in] sigma the standard deviation of a circular window (its dimensions will be calculated according to the standard deviation), the covariation matrix will be calculated to a circular neighborhood of this standard deviation (only used when block_size == 0, must be >= 0.5f and <= 5.0f) [in] block_size square window size, the covariation matrix will be calculated to a square neighborhood of this size (must be >= 3 and <= 31) [in] k_thr Harris constant, usually set empirically to 0.04f (must be >= 0.01f)
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Returns
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features object containing arrays for x and y coordinates and score (Harris response), while arrays orientation and size are set to 0 and 1, respectively, because Harris does not compute that information
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