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)pcl::SampleConsensusModelSphere< PointT > [virtual]
pcl::ConstPtr typedefpcl::SampleConsensusModel< PointT >
pcl::SampleConsensusModelFromNormals::ConstPtr typedefpcl::SampleConsensusModelFromNormals< PointT, PointNT >
countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold)pcl::SampleConsensusModelNormalSphere< PointT, PointNT > [virtual]
doSamplesVerifyModel(const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, const double threshold)pcl::SampleConsensusModelSphere< PointT > [virtual]
drawIndexSample(std::vector< int > &sample)pcl::SampleConsensusModel< PointT > [inline, protected]
drawIndexSampleRadius(std::vector< int > &sample)pcl::SampleConsensusModel< PointT > [inline, protected]
getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances)pcl::SampleConsensusModelNormalSphere< PointT, PointNT > [virtual]
getIndices() const pcl::SampleConsensusModel< PointT > [inline]
getInputCloud() const pcl::SampleConsensusModel< PointT > [inline]
getInputNormals()pcl::SampleConsensusModelFromNormals< PointT, PointNT > [inline]
getModelType() const pcl::SampleConsensusModelNormalSphere< PointT, PointNT > [inline, virtual]
getNormalDistanceWeight()pcl::SampleConsensusModelFromNormals< PointT, PointNT > [inline]
getRadiusLimits(double &min_radius, double &max_radius)pcl::SampleConsensusModel< PointT > [inline]
getSamples(int &iterations, std::vector< int > &samples)pcl::SampleConsensusModel< PointT > [inline]
getSampleSize() const pcl::SampleConsensusModel< PointT > [inline]
getSamplesMaxDist(double &radius)pcl::SampleConsensusModel< PointT > [inline]
indices_pcl::SampleConsensusModel< PointT > [protected]
input_pcl::SampleConsensusModel< PointT > [protected]
isModelValid(const Eigen::VectorXf &model_coefficients)pcl::SampleConsensusModelNormalSphere< PointT, PointNT > [protected, virtual]
isSampleGood(const std::vector< int > &samples) const pcl::SampleConsensusModelSphere< PointT > [protected, virtual]
max_sample_checks_pcl::SampleConsensusModel< PointT > [protected, static]
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)pcl::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 >
ProgressiveSampleConsensus< PointT > classpcl::SampleConsensusModel< PointT > [friend]
projectPoints(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true)pcl::SampleConsensusModelSphere< PointT > [virtual]
Ptr typedefpcl::SampleConsensusModelNormalSphere< PointT, PointNT >
radius_max_pcl::SampleConsensusModel< PointT > [protected]
radius_min_pcl::SampleConsensusModel< PointT > [protected]
rnd()pcl::SampleConsensusModel< PointT > [inline, protected]
rng_alg_pcl::SampleConsensusModel< PointT > [protected]
rng_dist_pcl::SampleConsensusModel< PointT > [protected]
rng_gen_pcl::SampleConsensusModel< PointT > [protected]
SampleConsensusModel(bool random=false)pcl::SampleConsensusModel< PointT > [inline, protected]
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)pcl::SampleConsensusModelNormalSphere< PointT, PointNT > [inline]
SampleConsensusModelNormalSphere(const PointCloudConstPtr &cloud, const std::vector< int > &indices)pcl::SampleConsensusModelNormalSphere< PointT, PointNT > [inline]
SampleConsensusModelSphere(const PointCloudConstPtr &cloud)pcl::SampleConsensusModelSphere< PointT > [inline]
SampleConsensusModelSphere(const PointCloudConstPtr &cloud, const std::vector< int > &indices)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)pcl::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 > [inline, virtual]
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 > [inline, virtual]
~SampleConsensusModelFromNormals()pcl::SampleConsensusModelFromNormals< PointT, PointNT > [inline, virtual]


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:20:08