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<div class="title">2D/3D point and pose PDFs</div> </div>
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Collaboration diagram for 2D/3D point and pose PDFs:</div>
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<center><table><tr><td><img src="group__poses__pdf__grp.png" border="0" alt="" usemap="#group____poses____pdf____grp"/>
<map name="group____poses____pdf____grp" id="group____poses____pdf____grp">
<area shape="rect" id="node3" href="group__poses__grp.html" title="2D/3D points and poses" alt="" coords="605,7,768,33"/><area shape="rect" id="node2" href="group__mrpt__base__grp.html" title=" Back to list of all libraries | See all modules   " alt="" coords="5,7,93,33"/></map>
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<table class="memberdecls">
<tr><td colspan="2"><h2><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_point2_d_p_d_f.html">mrpt::poses::CPoint2DPDF</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Distribution function (PDF) of a 2D point (x,y). <a href="classmrpt_1_1poses_1_1_c_point2_d_p_d_f.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_point2_d_p_d_f_gaussian.html">mrpt::poses::CPoint2DPDFGaussian</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A gaussian distribution for 2D points. <a href="classmrpt_1_1poses_1_1_c_point2_d_p_d_f_gaussian.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_point_p_d_f.html">mrpt::poses::CPointPDF</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Distribution function (PDF) of a 3D point (x,y,z). <a href="classmrpt_1_1poses_1_1_c_point_p_d_f.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_point_p_d_f_gaussian.html">mrpt::poses::CPointPDFGaussian</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A gaussian distribution for 3D points. <a href="classmrpt_1_1poses_1_1_c_point_p_d_f_gaussian.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_t_simple3_d_point.html">mrpt::poses::TSimple3DPoint</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Data within each particle. <a href="classmrpt_1_1poses_1_1_t_simple3_d_point.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_point_p_d_f_particles.html">mrpt::poses::CPointPDFParticles</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A probability distribution of a 2D/3D point, represented as a set of random samples (particles). <a href="classmrpt_1_1poses_1_1_c_point_p_d_f_particles.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_point_p_d_f_s_o_g.html">mrpt::poses::CPointPDFSOG</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 3D point <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ z ]^t $" src="form_49.png"/>. <a href="classmrpt_1_1poses_1_1_c_point_p_d_f_s_o_g.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose2_d_grid_template.html">mrpt::poses::CPose2DGridTemplate</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">This is a template class for storing a 3D (2D+heading) grid containing any kind of data. <a href="classmrpt_1_1poses_1_1_c_pose2_d_grid_template.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f.html">mrpt::poses::CPose3DPDF</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually). <a href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_gaussian.html">mrpt::poses::CPose3DPDFGaussian</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 3D pose <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ z ~ yaw ~ pitch ~ roll]^t $" src="form_61.png"/>. <a href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_gaussian.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_gaussian_inf.html">mrpt::poses::CPose3DPDFGaussianInf</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 3D pose <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ z ~ yaw ~ pitch ~ roll]^t $" src="form_61.png"/> as a Gaussian described by its mean and its inverse covariance matrix. <a href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_gaussian_inf.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_particles.html">mrpt::poses::CPose3DPDFParticles</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 3D pose. <a href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_particles.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_s_o_g.html">mrpt::poses::CPose3DPDFSOG</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 3D(6D) pose <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ z ~ yaw ~ pitch ~ roll]^t $" src="form_61.png"/>. <a href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f_s_o_g.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_quat_p_d_f.html">mrpt::poses::CPose3DQuatPDF</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually), by means of a 7-vector with a translation [x y z] and a quaternion [qr qx qy qz]. <a href="classmrpt_1_1poses_1_1_c_pose3_d_quat_p_d_f.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_quat_p_d_f_gaussian.html">mrpt::poses::CPose3DQuatPDFGaussian</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 3D pose using a quaternion <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ z ~ qr ~ qx ~ qy ~ qz]^\top $" src="form_67.png"/>. <a href="classmrpt_1_1poses_1_1_c_pose3_d_quat_p_d_f_gaussian.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f.html">mrpt::poses::CPosePDF</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a probability density function (pdf) of a 2D pose (x,y,phi). <a href="classmrpt_1_1poses_1_1_c_pose_p_d_f.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f_gaussian.html">mrpt::poses::CPosePDFGaussian</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 2D pose <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ \phi ]^t $" src="form_71.png"/>. <a href="classmrpt_1_1poses_1_1_c_pose_p_d_f_gaussian.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f_gaussian_inf.html">mrpt::poses::CPosePDFGaussianInf</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A Probability Density function (PDF) of a 2D pose <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ \phi ]^t $" src="form_71.png"/> as a Gaussian with a mean and the inverse of the covariance. <a href="classmrpt_1_1poses_1_1_c_pose_p_d_f_gaussian_inf.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f_grid.html">mrpt::poses::CPosePDFGrid</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Distribution function (PDF) of a 2D pose (x,y,phi). <a href="classmrpt_1_1poses_1_1_c_pose_p_d_f_grid.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f_particles.html">mrpt::poses::CPosePDFParticles</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density Function (PDF) over a 2D pose (x,y,phi), using a set of weighted samples. <a href="classmrpt_1_1poses_1_1_c_pose_p_d_f_particles.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f_s_o_g.html">mrpt::poses::CPosePDFSOG</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Declares a class that represents a Probability Density function (PDF) of a 2D pose <img class="formulaInl" alt="$ p(\mathbf{x}) = [x ~ y ~ \phi ]^t $" src="form_71.png"/>. <a href="classmrpt_1_1poses_1_1_c_pose_p_d_f_s_o_g.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_pose_random_sampler.html">mrpt::poses::CPoseRandomSampler</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">An efficient generator of random samples drawn from a given 2D (<a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f.html" title="Declares a class that represents a probability density function (pdf) of a 2D pose (x...">CPosePDF</a>) or 3D (<a class="el" href="classmrpt_1_1poses_1_1_c_pose3_d_p_d_f.html" title="Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually)...">CPose3DPDF</a>) pose probability density function (pdf). <a href="classmrpt_1_1poses_1_1_c_pose_random_sampler.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1poses_1_1_c_robot2_d_pose_estimator.html">mrpt::poses::CRobot2DPoseEstimator</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A simple filter to estimate and extrapolate the robot 2D (x,y,phi) pose from asynchronous odometry and localization data. <a href="classmrpt_1_1poses_1_1_c_robot2_d_pose_estimator.html#details">More...</a><br/></td></tr>
<tr><td colspan="2"><h2><a name="namespaces"></a>
Namespaces</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">namespace  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1poses.html">mrpt::poses</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>Classes for 2D/3D geometry representation, both of single values and probability density distributions (PDFs) in many forms. </p>
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