| computeModelCoefficients(const Indices &samples, Eigen::VectorXf &model_coefficients) const override |
pcl::SampleConsensusModelSphere< PointT > |
virtual |
| computeVariance(const std::vector< double > &error_sqr_dists) const |
pcl::SampleConsensusModel< PointT > |
inline |
| computeVariance() const |
pcl::SampleConsensusModel< PointT > |
inline |
| ConstPtr typedef |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
|
| countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold) const override |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
virtual |
| countWithinDistanceStandard(const Eigen::VectorXf &model_coefficients, const double threshold, std::size_t i=0) const |
pcl::SampleConsensusModelSphere< PointT > |
protected |
| custom_model_constraints_ |
pcl::SampleConsensusModel< PointT > |
protected |
| doSamplesVerifyModel(const std::set< index_t > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) const override |
pcl::SampleConsensusModelSphere< PointT > |
virtual |
| drawIndexSample(Indices &sample) |
pcl::SampleConsensusModel< PointT > |
inlineprotected |
| drawIndexSampleRadius(Indices &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 override |
pcl::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 override |
pcl::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, Indices &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 override |
pcl::SampleConsensusModelSphere< PointT > |
inlineprotectedvirtual |
| isSampleGood(const Indices &samples) const override |
pcl::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 Indices &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) const override |
pcl::SampleConsensusModelSphere< PointT > |
virtual |
| PointCloud typedef |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
|
| PointCloudConstPtr typedef |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
|
| PointCloudNConstPtr typedef |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
|
| PointCloudNPtr typedef |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
|
| PointCloudPtr typedef |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
|
| projectPoints(const Indices &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) const override |
pcl::SampleConsensusModelSphere< PointT > |
virtual |
| Ptr typedef |
pcl::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 Indices &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 Indices &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 Indices &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 typedef |
pcl::SampleConsensusModel< PointT > |
|
| selectWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold, Indices &inliers) override |
pcl::SampleConsensusModelNormalSphere< PointT, PointNT > |
virtual |
| setIndices(const IndicesPtr &indices) |
pcl::SampleConsensusModel< PointT > |
inline |
| setIndices(const Indices &indices) |
pcl::SampleConsensusModel< PointT > |
inline |
| setInputCloud(const PointCloudConstPtr &cloud) |
pcl::SampleConsensusModel< PointT > |
inlinevirtual |
| setInputNormals(const PointCloudNConstPtr &normals) |
pcl::SampleConsensusModelFromNormals< PointT, PointNT > |
inline |
| setModelConstraints(std::function< bool(const Eigen::VectorXf &)> function) |
pcl::SampleConsensusModel< PointT > |
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 |
