CornerDetectionAlgorithms

Algorithms that are used to find corners in an image. More...

Functions
template<typename T , typename Allocator >
void	compute_harris_responses (boost::gil::gray32f_view_t m11, boost::gil::gray32f_view_t m12_21, boost::gil::gray32f_view_t m22, boost::gil::detail::kernel_2d< T, Allocator > weights, float k, boost::gil::gray32f_view_t harris_response)
	function to record Harris responses More...

Detailed Description

Algorithms that are used to find corners in an image.

These algorithms are used to find spots from which sliding the window will produce large intensity change

Function Documentation

compute_harris_responses()

void boost::gil::compute_harris_responses	(	boost::gil::gray32f_view_t	m11,
		boost::gil::gray32f_view_t	m12_21,
		boost::gil::gray32f_view_t	m22,
		boost::gil::detail::kernel_2d< T, Allocator >	weights,
		float	k,
		boost::gil::gray32f_view_t	harris_response
	)

function to record Harris responses

This algorithm computes Harris responses for structure tensor represented by m11, m12_21, m22 views. Note that m12_21 represents both entries (1, 2) and (2, 1). Window length represents size of a window which is slided around to compute sum of corresponding entries. k is a discrimination constant against edges (usually in range 0.04 to 0.06). harris_response is an out parameter that will contain the Harris responses.