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21 <h3><a href="../index.html"><img alt="Boost GIL" src="../_static/gil.png" border="0"></a></h3>
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43 <a href="#func-members">Functions</a> </div>
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45 <div class="title">CornerDetectionAlgorithms</div> </div>
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49 <p>Algorithms that are used to find corners in an image.
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53 Functions</h2></td></tr>
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55 template<typename T , typename Allocator > </td></tr>
56 <tr class="memitem:gab73f324a539c60eae52a8017feab44d8"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group___corner_detection_algorithms.html#gab73f324a539c60eae52a8017feab44d8">compute_harris_responses</a> (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)</td></tr>
57 <tr class="memdesc:gab73f324a539c60eae52a8017feab44d8"><td class="mdescLeft"> </td><td class="mdescRight">function to record Harris responsesThis 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. <br /></td></tr>
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60 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
61 <p>Algorithms that are used to find corners in an image. </p>
62 <p>These algorithms are used to find spots from which sliding the window will produce large intensity change </p>
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