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<div class="title">CPosePDFGaussianInf.h File Reference</div> </div>
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<div class="textblock"><code>#include <<a class="el" href="_c_pose_p_d_f_8h_source.html">mrpt/poses/CPosePDF.h</a>></code><br/>
<code>#include <<a class="el" href="_c_matrix_fixed_numeric_8h_source.html">mrpt/math/CMatrixFixedNumeric.h</a>></code><br/>
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Include dependency graph for CPosePDFGaussianInf.h:</div>
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<p><a href="_c_pose_p_d_f_gaussian_inf_8h_source.html">Go to the source code of this file.</a></p>
<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">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structmrpt_1_1poses_1_1_c_pose_p_d_f_gaussian_inf_ptr.html">mrpt::poses::CPosePDFGaussianInfPtr</a></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 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.html">mrpt</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries. </p>
<br/></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>
<br/></td></tr>
<tr><td colspan="2"><h2><a name="func-members"></a>
Functions</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">::<a class="el" href="classmrpt_1_1utils_1_1_c_stream.html">mrpt::utils::CStream</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1poses.html#a0d1d67205794fad443f879d5045fae22">mrpt::poses::operator>></a> (<a class="el" href="classmrpt_1_1utils_1_1_c_stream.html">mrpt::utils::CStream</a> &in, CPosePDFGaussianInfPtr &pObj)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">CPosePDFGaussianInf </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1poses.html#a6b8402491fc4b1c483cd6560c483e5dc">mrpt::poses::operator+</a> (const CPosePDFGaussianInf &a, const CPosePDFGaussianInf &b)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Pose compose operator: RES = A (+) B , computing both the mean and the covariance. <a href="#a6b8402491fc4b1c483cd6560c483e5dc"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">CPosePDFGaussianInf </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1poses.html#ad75c37a127b64eb5bb0f9a1759022b83">mrpt::poses::operator-</a> (const CPosePDFGaussianInf &a, const CPosePDFGaussianInf &b)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Pose inverse compose operator: RES = A (-) B , computing both the mean and the covariance. <a href="#ad75c37a127b64eb5bb0f9a1759022b83"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"><a class="el" href="classstd_1_1ostream.html">std::ostream</a> BASE_IMPEXP & </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1poses.html#adf148bbd8a0ffc6b8887fa403ec14d63">mrpt::poses::operator<<</a> (<a class="el" href="classstd_1_1ostream.html">std::ostream</a> &out, const CPosePDFGaussianInf &obj)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Dumps the mean and covariance matrix to a text stream. <a href="#adf148bbd8a0ffc6b8887fa403ec14d63"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">poses::CPosePDFGaussianInf <br class="typebreak"/>
BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1poses.html#ad9b0f68c423e44628bda79a2e5d2cdca">mrpt::poses::operator+</a> (const <a class="el" href="classmrpt_1_1poses_1_1_c_pose2_d.html">mrpt::poses::CPose2D</a> &A, const <a class="el" href="classmrpt_1_1poses_1_1_c_pose_p_d_f_gaussian_inf.html">mrpt::poses::CPosePDFGaussianInf</a> &B)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Returns the Gaussian distribution of <img class="formulaInl" alt="$ \mathbf{C} $" src="form_72.png"/>, for <img class="formulaInl" alt="$ \mathbf{C} = \mathbf{A} \oplus \mathbf{B} $" src="form_73.png"/>. <a href="#ad9b0f68c423e44628bda79a2e5d2cdca"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">bool BASE_IMPEXP </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1poses.html#a7bc2b5adaa855480c7f6ac550bb1c6d1">mrpt::poses::operator==</a> (const CPosePDFGaussianInf &p1, const CPosePDFGaussianInf &p2)</td></tr>
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