| axis_ |
pcl::SACSegmentation< PointT > |
protected |
|
deinitCompute() |
pcl::PCLBase< PointT > |
protected |
| distance_from_origin_ |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
protected |
| distance_weight_ |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
protected |
| eps_angle_ |
pcl::SACSegmentation< PointT > |
protected |
| fake_indices_ |
pcl::PCLBase< PointT > |
protected |
|
getAxis() const |
pcl::SACSegmentation< PointT > |
inline |
|
getClassName() const override |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inlineprotectedvirtual
|
|
getDistanceFromOrigin() const |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
getDistanceThreshold() const |
pcl::SACSegmentation< PointT > |
inline |
|
getEpsAngle() const |
pcl::SACSegmentation< PointT > |
inline |
|
getIndices() |
pcl::PCLBase< PointT > |
inline |
|
getIndices() const |
pcl::PCLBase< PointT > |
inline |
|
getInputCloud() const |
pcl::PCLBase< PointT > |
inline |
|
getInputNormals() const |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
getMaxIterations() const |
pcl::SACSegmentation< PointT > |
inline |
|
getMethod() const |
pcl::SACSegmentation< PointT > |
inline |
|
getMethodType() const |
pcl::SACSegmentation< PointT > |
inline |
|
getMinMaxOpeningAngle(double &min_angle, double &max_angle) |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
getModel() const |
pcl::SACSegmentation< PointT > |
inline |
|
getModelType() const |
pcl::SACSegmentation< PointT > |
inline |
|
getNormalDistanceWeight() const |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
getOptimizeCoefficients() const |
pcl::SACSegmentation< PointT > |
inline |
|
getProbability() const |
pcl::SACSegmentation< PointT > |
inline |
|
getRadiusLimits(double &min_radius, double &max_radius) |
pcl::SACSegmentation< PointT > |
inline |
|
getSamplesMaxDist(double &radius) |
pcl::SACSegmentation< PointT > |
inline |
| indices_ |
pcl::PCLBase< PointT > |
protected |
|
initCompute() |
pcl::PCLBase< PointT > |
protected |
|
initSAC(const int method_type) |
pcl::SACSegmentation< PointT > |
protectedvirtual
|
|
initSACModel(const int model_type) override |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
protectedvirtual
|
| input_ |
pcl::PCLBase< PointT > |
protected |
| max_angle_ |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
protected |
| max_iterations_ |
pcl::SACSegmentation< PointT > |
protected |
| method_type_ |
pcl::SACSegmentation< PointT > |
protected |
| min_angle_ |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
protected |
| model_ |
pcl::SACSegmentation< PointT > |
protected |
| model_type_ |
pcl::SACSegmentation< PointT > |
protected |
| normals_ |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
protected |
|
operator[](std::size_t pos) const |
pcl::PCLBase< PointT > |
inline |
| optimize_coefficients_ |
pcl::SACSegmentation< PointT > |
protected |
|
PCLBase() |
pcl::PCLBase< PointT > |
|
|
PCLBase(const PCLBase &base) |
pcl::PCLBase< PointT > |
|
|
PointCloud typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
PointCloudConstPtr typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
PointCloudN typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
PointCloudNConstPtr typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
PointCloudNPtr typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
PointCloudPtr typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
PointIndicesConstPtr typedef |
pcl::PCLBase< PointT > |
|
|
PointIndicesPtr typedef |
pcl::PCLBase< PointT > |
|
| probability_ |
pcl::SACSegmentation< PointT > |
protected |
| radius_max_ |
pcl::SACSegmentation< PointT > |
protected |
| radius_min_ |
pcl::SACSegmentation< PointT > |
protected |
| random_ |
pcl::SACSegmentation< PointT > |
protected |
| sac_ |
pcl::SACSegmentation< PointT > |
protected |
|
SACSegmentation(bool random=false) |
pcl::SACSegmentation< PointT > |
inline |
|
SACSegmentationFromNormals(bool random=false) |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
SampleConsensusModelFromNormalsPtr typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
SampleConsensusModelPtr typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
|
SampleConsensusPtr typedef |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
|
| samples_radius_ |
pcl::SACSegmentation< PointT > |
protected |
| samples_radius_search_ |
pcl::SACSegmentation< PointT > |
protected |
|
SearchPtr typedef |
pcl::SACSegmentation< PointT > |
|
|
segment(PointIndices &inliers, ModelCoefficients &model_coefficients) |
pcl::SACSegmentation< PointT > |
virtual |
|
setAxis(const Eigen::Vector3f &ax) |
pcl::SACSegmentation< PointT > |
inline |
|
setDistanceFromOrigin(const double d) |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
setDistanceThreshold(double threshold) |
pcl::SACSegmentation< PointT > |
inline |
|
setEpsAngle(double ea) |
pcl::SACSegmentation< PointT > |
inline |
|
setIndices(const IndicesPtr &indices) |
pcl::PCLBase< PointT > |
virtual |
|
setIndices(const IndicesConstPtr &indices) |
pcl::PCLBase< PointT > |
virtual |
|
setIndices(const PointIndicesConstPtr &indices) |
pcl::PCLBase< PointT > |
virtual |
|
setIndices(std::size_t row_start, std::size_t col_start, std::size_t nb_rows, std::size_t nb_cols) |
pcl::PCLBase< PointT > |
virtual |
|
setInputCloud(const PointCloudConstPtr &cloud) |
pcl::PCLBase< PointT > |
virtual |
|
setInputNormals(const PointCloudNConstPtr &normals) |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
setMaxIterations(int max_iterations) |
pcl::SACSegmentation< PointT > |
inline |
|
setMethodType(int method) |
pcl::SACSegmentation< PointT > |
inline |
|
setMinMaxOpeningAngle(const double &min_angle, const double &max_angle) |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
setModelType(int model) |
pcl::SACSegmentation< PointT > |
inline |
|
setNormalDistanceWeight(double distance_weight) |
pcl::SACSegmentationFromNormals< PointT, PointNT > |
inline |
|
setNumberOfThreads(const int nr_threads=-1) |
pcl::SACSegmentation< PointT > |
inline |
|
setOptimizeCoefficients(bool optimize) |
pcl::SACSegmentation< PointT > |
inline |
|
setProbability(double probability) |
pcl::SACSegmentation< PointT > |
inline |
|
setRadiusLimits(const double &min_radius, const double &max_radius) |
pcl::SACSegmentation< PointT > |
inline |
|
setSamplesMaxDist(const double &radius, SearchPtr search) |
pcl::SACSegmentation< PointT > |
inline |
| threads_ |
pcl::SACSegmentation< PointT > |
protected |
| threshold_ |
pcl::SACSegmentation< PointT > |
protected |
| use_indices_ |
pcl::PCLBase< PointT > |
protected |
|
~PCLBase()=default |
pcl::PCLBase< PointT > |
virtual |
|
~SACSegmentation() |
pcl::SACSegmentation< PointT > |
inline |