Point Cloud Library (PCL)  1.9.1-dev
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > Member List

This is the complete list of members for pcl::SampleConsensusModelNormalSphere< PointT, PointNT >, including all inherited members.

computeModelCoefficients(const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) const overridepcl::SampleConsensusModelSphere< PointT >virtual
computeVariance(const std::vector< double > &error_sqr_dists) const pcl::SampleConsensusModel< PointT >inline
computeVariance() const pcl::SampleConsensusModel< PointT >inline
pcl::ConstPtr typedefpcl::SampleConsensusModel< PointT >
pcl::SampleConsensusModelFromNormals::ConstPtr typedefpcl::SampleConsensusModelFromNormals< PointT, PointNT >
countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold) const overridepcl::SampleConsensusModelNormalSphere< PointT, PointNT >virtual
doSamplesVerifyModel(const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) const overridepcl::SampleConsensusModelSphere< PointT >virtual
drawIndexSample(std::vector< int > &sample)pcl::SampleConsensusModel< PointT >inlineprotected
drawIndexSampleRadius(std::vector< int > &sample)pcl::SampleConsensusModel< PointT >inlineprotected
error_sqr_dists_pcl::SampleConsensusModel< PointT >protected
getClassName() const pcl::SampleConsensusModel< PointT >inline
getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const overridepcl::SampleConsensusModelNormalSphere< PointT, PointNT >virtual
getIndices() const pcl::SampleConsensusModel< PointT >inline
getInputCloud() const pcl::SampleConsensusModel< PointT >inline
getInputNormals() const pcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
getModelSize() const pcl::SampleConsensusModel< PointT >inline
getModelType() const overridepcl::SampleConsensusModelNormalSphere< PointT, PointNT >inlinevirtual
getNormalDistanceWeight() const pcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
getRadiusLimits(double &min_radius, double &max_radius) const pcl::SampleConsensusModel< PointT >inline
getSamples(int &iterations, std::vector< int > &samples)pcl::SampleConsensusModel< PointT >inlinevirtual
getSampleSize() const pcl::SampleConsensusModel< PointT >inline
getSamplesMaxDist(double &radius) const pcl::SampleConsensusModel< PointT >inline
indices_pcl::SampleConsensusModel< PointT >protected
input_pcl::SampleConsensusModel< PointT >protected
isModelValid(const Eigen::VectorXf &model_coefficients) const overridepcl::SampleConsensusModelNormalSphere< PointT, PointNT >protectedvirtual
isSampleGood(const std::vector< int > &samples) const overridepcl::SampleConsensusModelSphere< PointT >protectedvirtual
max_sample_checks_pcl::SampleConsensusModel< PointT >protectedstatic
model_name_pcl::SampleConsensusModel< PointT >protected
model_size_pcl::SampleConsensusModel< PointT >protected
normal_distance_weight_pcl::SampleConsensusModelFromNormals< PointT, PointNT >protected
normals_pcl::SampleConsensusModelFromNormals< PointT, PointNT >protected
operator=(const SampleConsensusModelSphere &source)pcl::SampleConsensusModelSphere< PointT >inline
optimizeModelCoefficients(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) const overridepcl::SampleConsensusModelSphere< PointT >virtual
PointCloud typedefpcl::SampleConsensusModelNormalSphere< PointT, PointNT >
PointCloudConstPtr typedefpcl::SampleConsensusModelNormalSphere< PointT, PointNT >
PointCloudNConstPtr typedefpcl::SampleConsensusModelNormalSphere< PointT, PointNT >
PointCloudNPtr typedefpcl::SampleConsensusModelNormalSphere< PointT, PointNT >
PointCloudPtr typedefpcl::SampleConsensusModelNormalSphere< PointT, PointNT >
projectPoints(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) const overridepcl::SampleConsensusModelSphere< PointT >virtual
Ptr typedefpcl::SampleConsensusModelNormalSphere< PointT, PointNT >
radius_max_pcl::SampleConsensusModel< PointT >protected
radius_min_pcl::SampleConsensusModel< PointT >protected
rnd()pcl::SampleConsensusModel< PointT >inlineprotected
rng_alg_pcl::SampleConsensusModel< PointT >protected
rng_dist_pcl::SampleConsensusModel< PointT >protected
rng_gen_pcl::SampleConsensusModel< PointT >protected
sample_size_pcl::SampleConsensusModel< PointT >protected
SampleConsensusModel(bool random=false)pcl::SampleConsensusModel< PointT >inlineprotected
SampleConsensusModel(const PointCloudConstPtr &cloud, bool random=false)pcl::SampleConsensusModel< PointT >inline
SampleConsensusModel(const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false)pcl::SampleConsensusModel< PointT >inline
SampleConsensusModelFromNormals()pcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
SampleConsensusModelNormalSphere(const PointCloudConstPtr &cloud, bool random=false)pcl::SampleConsensusModelNormalSphere< PointT, PointNT >inline
SampleConsensusModelNormalSphere(const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false)pcl::SampleConsensusModelNormalSphere< PointT, PointNT >inline
SampleConsensusModelSphere(const PointCloudConstPtr &cloud, bool random=false)pcl::SampleConsensusModelSphere< PointT >inline
SampleConsensusModelSphere(const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false)pcl::SampleConsensusModelSphere< PointT >inline
SampleConsensusModelSphere(const SampleConsensusModelSphere &source)pcl::SampleConsensusModelSphere< PointT >inline
samples_radius_pcl::SampleConsensusModel< PointT >protected
samples_radius_search_pcl::SampleConsensusModel< PointT >protected
SearchPtr typedefpcl::SampleConsensusModel< PointT >
selectWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold, std::vector< int > &inliers) overridepcl::SampleConsensusModelNormalSphere< PointT, PointNT >virtual
setIndices(const boost::shared_ptr< std::vector< int > > &indices)pcl::SampleConsensusModel< PointT >inline
setIndices(const std::vector< int > &indices)pcl::SampleConsensusModel< PointT >inline
setInputCloud(const PointCloudConstPtr &cloud)pcl::SampleConsensusModel< PointT >inlinevirtual
setInputNormals(const PointCloudNConstPtr &normals)pcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
setNormalDistanceWeight(const double w)pcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
setRadiusLimits(const double &min_radius, const double &max_radius)pcl::SampleConsensusModel< PointT >inline
setSamplesMaxDist(const double &radius, SearchPtr search)pcl::SampleConsensusModel< PointT >inline
shuffled_indices_pcl::SampleConsensusModel< PointT >protected
~SampleConsensusModel()pcl::SampleConsensusModel< PointT >inlinevirtual
~SampleConsensusModelFromNormals()pcl::SampleConsensusModelFromNormals< PointT, PointNT >inlinevirtual
~SampleConsensusModelNormalSphere()pcl::SampleConsensusModelNormalSphere< PointT, PointNT >inline
~SampleConsensusModelSphere()pcl::SampleConsensusModelSphere< PointT >inline