lslgeneric::NDTMatcherP2D Member List
This is the complete list of members for lslgeneric::NDTMatcherP2D, including all inherited members.
a2lslgeneric::NDTMatcherP2D [private]
a3lslgeneric::NDTMatcherP2D [private]
b2lslgeneric::NDTMatcherP2D [private]
b3lslgeneric::NDTMatcherP2D [private]
c2lslgeneric::NDTMatcherP2D [private]
c3lslgeneric::NDTMatcherP2D [private]
check(pcl::PointCloud< pcl::PointXYZ > &fixed, pcl::PointCloud< pcl::PointXYZ > &moving, Eigen::Transform< double, 3, Eigen::Affine, Eigen::ColMajor > &T)lslgeneric::NDTMatcherP2D
computeDerivatives(pcl::PointXYZ &pt)lslgeneric::NDTMatcherP2D [private]
covariance(pcl::PointCloud< pcl::PointXYZ > &target, pcl::PointCloud< pcl::PointXYZ > &source, Eigen::Transform< double, 3, Eigen::Affine, Eigen::ColMajor > &T, Eigen::Matrix< double, 6, 6 > &cov)lslgeneric::NDTMatcherP2D
current_resolutionlslgeneric::NDTMatcherP2D [private]
d1lslgeneric::NDTMatcherP2D [private]
d2lslgeneric::NDTMatcherP2D [private]
d3lslgeneric::NDTMatcherP2D [private]
derivativesPointCloud(pcl::PointCloud< pcl::PointXYZ > &source, NDTMap &target, Eigen::Transform< double, 3, Eigen::Affine, Eigen::ColMajor > &transform, Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Matrix< double, 6, 6 > &Hessian, bool computeHessian)lslgeneric::NDTMatcherP2D
e1lslgeneric::NDTMatcherP2D [private]
e2lslgeneric::NDTMatcherP2D [private]
e3lslgeneric::NDTMatcherP2D [private]
f1lslgeneric::NDTMatcherP2D [private]
f2lslgeneric::NDTMatcherP2D [private]
f3lslgeneric::NDTMatcherP2D [private]
finalscorelslgeneric::NDTMatcherP2D
generateScoreDebug(const char *out, pcl::PointCloud< pcl::PointXYZ > &target, pcl::PointCloud< pcl::PointXYZ > &source)lslgeneric::NDTMatcherP2D
Hestlslgeneric::NDTMatcherP2D [private]
init(bool useDefaultGridResolutions, std::vector< double > _resolutions)lslgeneric::NDTMatcherP2D [private]
isIrregularGridlslgeneric::NDTMatcherP2D [private]
ITR_MAXlslgeneric::NDTMatcherP2D
Jestlslgeneric::NDTMatcherP2D [private]
jest04lslgeneric::NDTMatcherP2D [private]
jest05lslgeneric::NDTMatcherP2D [private]
jest13lslgeneric::NDTMatcherP2D [private]
jest14lslgeneric::NDTMatcherP2D [private]
jest15lslgeneric::NDTMatcherP2D [private]
jest23lslgeneric::NDTMatcherP2D [private]
jest24lslgeneric::NDTMatcherP2D [private]
jest25lslgeneric::NDTMatcherP2D [private]
lfd1lslgeneric::NDTMatcherP2D [private]
lfd2lslgeneric::NDTMatcherP2D [private]
lineSearch(double score_here, Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Matrix< double, 6, 1 > &increment, pcl::PointCloud< pcl::PointXYZ > &source, NDTMap &target)lslgeneric::NDTMatcherP2D [private]
lineSearchMT(Eigen::Matrix< double, 6, 1 > &score_gradient_init, Eigen::Matrix< double, 6, 1 > &increment, pcl::PointCloud< pcl::PointXYZ > &source, Eigen::Transform< double, 3, Eigen::Affine, Eigen::ColMajor > &globalT, NDTMap &target)lslgeneric::NDTMatcherP2D [private]
match(pcl::PointCloud< pcl::PointXYZ > &target, pcl::PointCloud< pcl::PointXYZ > &source, Eigen::Transform< double, 3, Eigen::Affine, Eigen::ColMajor > &T)lslgeneric::NDTMatcherP2D
match(NDTMap &target, pcl::PointCloud< pcl::PointXYZ > &source, Eigen::Transform< double, 3, Eigen::Affine, Eigen::ColMajor > &T)lslgeneric::NDTMatcherP2D
NDTMatcherP2D(std::vector< double > _resolutions)lslgeneric::NDTMatcherP2D [inline]
NDTMatcherP2D()lslgeneric::NDTMatcherP2D [inline]
NDTMatcherP2D(const NDTMatcherP2D &other)lslgeneric::NDTMatcherP2D [inline]
normalizeAngle(double a)lslgeneric::NDTMatcherP2D [private]
NUMBER_OF_ACTIVE_CELLSlslgeneric::NDTMatcherP2D [private]
NUMBER_OF_POINTSlslgeneric::NDTMatcherP2D [private]
precomputeAngleDerivatives(Eigen::Vector3d &eulerAngles)lslgeneric::NDTMatcherP2D [private]
resolutionslslgeneric::NDTMatcherP2D [private]
scorePointCloud(pcl::PointCloud< pcl::PointXYZ > &source, NDTMap &target)lslgeneric::NDTMatcherP2D
subsample(pcl::PointCloud< pcl::PointXYZ > &original)lslgeneric::NDTMatcherP2D [private]
subsample_sizelslgeneric::NDTMatcherP2D
update_hessian(Eigen::Matrix< double, 6, 6 > &Hessian, Eigen::Vector3d &transformed, Eigen::Matrix3d &Cinv)lslgeneric::NDTMatcherP2D [private]
update_score_gradient(Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Vector3d &transformed, Eigen::Matrix3d &Cinv)lslgeneric::NDTMatcherP2D [private]
useSimpleDerivativeslslgeneric::NDTMatcherP2D [private]


ndt_registration
Author(s): Todor Stoyanov, Jari Saarinen, Henrik Andreasson
autogenerated on Wed Aug 26 2015 15:24:52