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51 changes: 25 additions & 26 deletions 2d_2include_2pcl_22d_2convolution_8h_source.html
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18 changes: 9 additions & 9 deletions 2d_2include_2pcl_22d_2impl_2convolution_8hpp_source.html
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<div id="projectname">Point Cloud Library (PCL)
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<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; intensity += kernel_(l, k).intensity * ((*input_)(jlkw, ikkh).intensity);</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; }</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; }</div>
<div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classpcl_1_1_convolution.html#ad67fdb49fef519511a8332271f1ae18d"> 130</a></span>&#160; }</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; output(j, i).intensity = intensity;</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; }</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; }</div>
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<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; } <span class="comment">// switch</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;}</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;} <span class="comment">// namespace pcl</span></div>
</div><!-- fragment --></div><!-- contents -->
<div class="ttc" id="anamespacepcl_html"><div class="ttname"><a href="namespacepcl.html">pcl</a></div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2convolution_8h_source.html#l00046">convolution.h:46</a></div></div>
<div class="ttc" id="aclasspcl_1_1_point_cloud_html"><div class="ttname"><a href="classpcl_1_1_point_cloud.html">pcl::PointCloud</a></div><div class="ttdoc">PointCloud represents the base class in PCL for storing collections of 3D points.</div><div class="ttdef"><b>Definition:</b> <a href="projection__matrix_8h_source.html#l00053">projection_matrix.h:53</a></div></div>
<div class="ttc" id="aclasspcl_1_1_convolution_html_ad67fdb49fef519511a8332271f1ae18d"><div class="ttname"><a href="classpcl_1_1_convolution.html#ad67fdb49fef519511a8332271f1ae18d">pcl::Convolution::filter</a></div><div class="ttdeci">void filter(pcl::PointCloud&lt; PointT &gt; &amp;output)</div><div class="ttdoc">Performs 2D convolution of the input point cloud with the kernel.</div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2impl_2convolution_8hpp_source.html#l00046">convolution.hpp:46</a></div></div>
<div class="ttc" id="aclasspcl_1_1_point_cloud_html"><div class="ttname"><a href="classpcl_1_1_point_cloud.html">pcl::PointCloud</a></div><div class="ttdoc">PointCloud represents the base class in PCL for storing collections of 3D points.</div><div class="ttdef"><b>Definition:</b> <a href="common_2include_2pcl_2point__cloud_8h_source.html#l00172">point_cloud.h:173</a></div></div>
<div class="ttc" id="anamespacepcl_html"><div class="ttname"><a href="namespacepcl.html">pcl</a></div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2convolution_8h_source.html#l00046">convolution.h:46</a></div></div>
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24 changes: 12 additions & 12 deletions 2d_2include_2pcl_22d_2impl_2keypoint_8hpp_source.html
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<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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Expand All @@ -22,18 +22,18 @@
<tr style="height: 56px;">
<td id="projectalign" style="padding-left: 0.5em;">
<div id="projectname">Point Cloud Library (PCL)
&#160;<span id="projectnumber">1.11.0-dev</span>
&#160;<span id="projectnumber">1.13.1-dev</span>
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<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; ImageType&amp; input,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> sigma_d,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> sigma_i,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> alpha,</div>
<div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classpcl_1_1_keypoint.html#ac3192deeb5d74d647768b472ec44baa6"> 58</a></span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> alpha,</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> thresh)</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;{</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="comment">/*creating the gaussian kernels*/</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; ImageType kernel_d;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; ImageType kernel_i;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; conv_2d.gaussianKernel(5, sigma_d, kernel_d);</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; conv_2d.gaussianKernel(5, sigma_i, kernel_i);</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; </div>
<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classpcl_1_1_keypoint.html#aa75a9bc1a92a269bd02d702314cf84ad"> 66</a></span>&#160; </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="comment">/*scaling the image with differentiation scale*/</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; ImageType smoothed_image;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; conv_2d.convolve(smoothed_image, kernel_d, input);</div>
<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classpcl_1_1_keypoint.html#a01397730ac2f3fc03286ba676ca3b5e4"> 69</a></span>&#160; conv_2d.convolve(smoothed_image, kernel_d, input);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="comment">/*image derivatives*/</span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; ImageType I_x, I_y;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; edge_detection.ComputeDerivativeXCentral(I_x, smoothed_image);</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; edge_detection.ComputeDerivativeYCentral(I_y, smoothed_image);</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="comment">/*second moment matrix*/</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classpcl_1_1_keypoint.html#a5d0f6762964c3be793623ab491aff190"> 76</a></span>&#160; <span class="comment">/*second moment matrix*/</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; ImageType I_x2, I_y2, I_xI_y;</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; imageElementMultiply(I_x2, I_x, I_x);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; imageElementMultiply(I_y2, I_y, I_y);</div>
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<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; }</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;}</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;} <span class="comment">// namespace pcl</span></div>
</div><!-- fragment --></div><!-- contents -->
<div class="ttc" id="anamespacepcl_html"><div class="ttname"><a href="namespacepcl.html">pcl</a></div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2convolution_8h_source.html#l00046">convolution.h:46</a></div></div>
<div class="ttc" id="aclasspcl_1_1_keypoint_html_a5d0f6762964c3be793623ab491aff190"><div class="ttname"><a href="classpcl_1_1_keypoint.html#a5d0f6762964c3be793623ab491aff190">pcl::Keypoint::imageElementMultiply</a></div><div class="ttdeci">void imageElementMultiply(ImageType &amp;output, ImageType &amp;input1, ImageType &amp;input2)</div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2impl_2keypoint_8hpp_source.html#l00244">keypoint.hpp:244</a></div></div>
<div class="ttc" id="aclasspcl_1_1_keypoint_html_aa75a9bc1a92a269bd02d702314cf84ad"><div class="ttname"><a href="classpcl_1_1_keypoint.html#aa75a9bc1a92a269bd02d702314cf84ad">pcl::Keypoint::hessianBlob</a></div><div class="ttdeci">void hessianBlob(ImageType &amp;output, ImageType &amp;input, const float sigma, bool SCALE)</div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2impl_2keypoint_8hpp_source.html#l00122">keypoint.hpp:122</a></div></div>
<div class="ttc" id="aclasspcl_1_1kernel_html_a95dd85f601f5c9eecb320f207da09af0"><div class="ttname"><a href="classpcl_1_1kernel.html#a95dd85f601f5c9eecb320f207da09af0">pcl::kernel::gaussianKernel</a></div><div class="ttdeci">void gaussianKernel(pcl::PointCloud&lt; PointT &gt; &amp;kernel)</div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00096">kernel.hpp:96</a></div></div>
<div class="ttc" id="aclasspcl_1_1_keypoint_html_ac3192deeb5d74d647768b472ec44baa6"><div class="ttname"><a href="classpcl_1_1_keypoint.html#ac3192deeb5d74d647768b472ec44baa6">pcl::Keypoint::harrisCorner</a></div><div class="ttdeci">void harrisCorner(ImageType &amp;output, ImageType &amp;input, const float sigma_d, const float sigma_i, const float alpha, const float thresh)</div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2impl_2keypoint_8hpp_source.html#l00054">keypoint.hpp:54</a></div></div>
<div class="ttc" id="aclasspcl_1_1kernel_html"><div class="ttname"><a href="classpcl_1_1kernel.html">pcl::kernel</a></div><div class="ttdef"><b>Definition:</b> <a href="kernel_8h_source.html#l00046">kernel.h:46</a></div></div>
<div class="ttc" id="aclasspcl_1_1kernel_html_a95dd85f601f5c9eecb320f207da09af0"><div class="ttname"><a href="classpcl_1_1kernel.html#a95dd85f601f5c9eecb320f207da09af0">pcl::kernel::gaussianKernel</a></div><div class="ttdeci">void gaussianKernel(pcl::PointCloud&lt; PointT &gt; &amp;kernel)</div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00096">kernel.hpp:96</a></div></div>
<div class="ttc" id="anamespacepcl_html"><div class="ttname"><a href="namespacepcl.html">pcl</a></div><div class="ttdef"><b>Definition:</b> <a href="2d_2include_2pcl_22d_2convolution_8h_source.html#l00046">convolution.h:46</a></div></div>
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