Point Cloud Library (PCL)  1.4.0
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gaussian.h
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00001 /*
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00036  * $Id: gaussian.h 3535 2011-12-14 22:21:39Z rusu $
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00039 
00040 #ifndef PCL_GAUSSIAN_KERNEL
00041 #define PCL_GAUSSIAN_KERNEL
00042 
00043 #include <sstream>
00044 #include <Eigen/Core>
00045 
00046 #include <pcl/point_cloud.h>
00047 #include <boost/function.hpp>
00048 
00049 namespace pcl
00050 {
00058   class PCL_EXPORTS GaussianKernel
00059   {
00060     public:
00061 
00062       GaussianKernel () {}
00063 
00064       static const unsigned MAX_KERNEL_WIDTH = 71;
00072       void
00073       compute (float sigma, 
00074                Eigen::VectorXf &kernel,
00075                unsigned kernel_width = MAX_KERNEL_WIDTH) const;
00076 
00085       void
00086       compute (float sigma, 
00087                Eigen::VectorXf &kernel, 
00088                Eigen::VectorXf &derivative, 
00089                unsigned kernel_width = MAX_KERNEL_WIDTH) const;
00090 
00098       void
00099       convolveRows (const pcl::PointCloud<float> &input,
00100                     const Eigen::VectorXf &kernel,
00101                     pcl::PointCloud<float> &output) const;
00102 
00111      template <typename PointT> void
00112      convolveRows (const pcl::PointCloud<PointT> &input,
00113                    boost::function <float (const PointT& p)> field_accessor,
00114                    const Eigen::VectorXf &kernel,
00115                    pcl::PointCloud<float> &output) const;
00116 
00124       void
00125       convolveCols (const pcl::PointCloud<float> &input,
00126                     const Eigen::VectorXf &kernel,
00127                     pcl::PointCloud<float> &output) const;
00128 
00137       template <typename PointT> void
00138       convolveCols (const pcl::PointCloud<PointT> &input,
00139                     boost::function <float (const PointT& p)> field_accessor,
00140                     const Eigen::VectorXf &kernel,
00141                     pcl::PointCloud<float> &output) const;
00142 
00151       inline void
00152       convolve (const pcl::PointCloud<float> &input,
00153                 const Eigen::VectorXf &horiz_kernel,
00154                 const Eigen::VectorXf &vert_kernel,
00155                 pcl::PointCloud<float> &output) const
00156       {
00157         std::cout << ">>> convolve cpp" << std::endl;
00158         pcl::PointCloud<float> tmp (input.width, input.height) ;
00159         convolveRows (input, horiz_kernel, tmp);        
00160         convolveCols (tmp, vert_kernel, output);
00161         std::cout << "<<< convolve cpp" << std::endl;
00162       }
00163 
00173       template <typename PointT> inline void
00174       convolve (const pcl::PointCloud<PointT> &input,
00175                 boost::function <float (const PointT& p)> field_accessor,
00176                 const Eigen::VectorXf &horiz_kernel,
00177                 const Eigen::VectorXf &vert_kernel,
00178                 pcl::PointCloud<float> &output) const
00179       {
00180         std::cout << ">>> convolve hpp" << std::endl;
00181         pcl::PointCloud<float> tmp (input.width, input.height);
00182         convolveRows<PointT>(input, field_accessor, horiz_kernel, tmp);
00183         convolveCols(tmp, vert_kernel, output);
00184         std::cout << "<<< convolve hpp" << std::endl;
00185       }
00186       
00197       inline void
00198       computeGradients (const pcl::PointCloud<float> &input,
00199                         const Eigen::VectorXf &gaussian_kernel,
00200                         const Eigen::VectorXf &gaussian_kernel_derivative,
00201                         pcl::PointCloud<float> &grad_x,
00202                         pcl::PointCloud<float> &grad_y) const
00203       {
00204         convolve (input, gaussian_kernel_derivative, gaussian_kernel, grad_x);
00205         convolve (input, gaussian_kernel, gaussian_kernel_derivative, grad_y);
00206       }
00207 
00219       template <typename PointT> inline void
00220       computeGradients (const pcl::PointCloud<PointT> &input,
00221                         boost::function <float (const PointT& p)> field_accessor,
00222                         const Eigen::VectorXf &gaussian_kernel,
00223                         const Eigen::VectorXf &gaussian_kernel_derivative,
00224                         pcl::PointCloud<float> &grad_x,
00225                         pcl::PointCloud<float> &grad_y) const
00226       {
00227         convolve<PointT> (input, field_accessor, gaussian_kernel_derivative, gaussian_kernel, grad_x);
00228         convolve<PointT> (input, field_accessor, gaussian_kernel, gaussian_kernel_derivative, grad_y);
00229       }
00230       
00238       inline void
00239       smooth (const pcl::PointCloud<float> &input,
00240               const Eigen::VectorXf &gaussian_kernel,
00241               pcl::PointCloud<float> &output) const
00242       {
00243         convolve (input, gaussian_kernel, gaussian_kernel, output);
00244       }
00245 
00254       template <typename PointT> inline void
00255       smooth (const pcl::PointCloud<PointT> &input,
00256               boost::function <float (const PointT& p)> field_accessor,
00257               const Eigen::VectorXf &gaussian_kernel,
00258               pcl::PointCloud<float> &output) const
00259       {
00260         convolve<PointT> (input, field_accessor, gaussian_kernel, gaussian_kernel, output);
00261       }
00262   };
00263 }
00264 
00265 #include "pcl/common/impl/gaussian.hpp"
00266 
00267 #endif // PCL_GAUSSIAN_KERNEL
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