pcl::SACSegmentationFromNormals< PointT, PointNT > Member List
This is the complete list of members for pcl::SACSegmentationFromNormals< PointT, PointNT >, including all inherited members.
axis_pcl::SACSegmentation< PointT > [protected]
deinitCompute()pcl::PCLBase< PointT > [inline, 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 pcl::SACSegmentationFromNormals< PointT, PointNT > [inline, protected, virtual]
getDistanceFromOrigin() const pcl::SACSegmentationFromNormals< PointT, PointNT > [inline]
getDistanceThreshold() const pcl::SACSegmentation< PointT > [inline]
getEpsAngle() const pcl::SACSegmentation< PointT > [inline]
getIndices()pcl::PCLBase< PointT > [inline]
getInputCloud()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 > [inline, protected]
initSAC(const int method_type)pcl::SACSegmentation< PointT > [protected, virtual]
initSACModel(const int model_type)pcl::SACSegmentationFromNormals< PointT, PointNT > [protected, virtual]
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[](size_t pos)pcl::PCLBase< PointT > [inline]
optimize_coefficients_pcl::SACSegmentation< PointT > [protected]
PCLBase()pcl::PCLBase< PointT > [inline]
PCLBase(const PCLBase &base)pcl::PCLBase< PointT > [inline]
PointCloud typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
PointCloudConstPtr typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
PointCloudN typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
PointCloudNConstPtr typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
PointCloudNPtr typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
PointCloudPtr typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
PointIndicesConstPtr typedefpcl::PCLBase< PointT >
PointIndicesPtr typedefpcl::PCLBase< PointT >
probability_pcl::SACSegmentation< PointT > [protected]
radius_max_pcl::SACSegmentation< PointT > [protected]
radius_min_pcl::SACSegmentation< PointT > [protected]
sac_pcl::SACSegmentation< PointT > [protected]
SACSegmentation()pcl::SACSegmentation< PointT > [inline]
SACSegmentationFromNormals()pcl::SACSegmentationFromNormals< PointT, PointNT > [inline]
SampleConsensusModelFromNormalsPtr typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
SampleConsensusModelPtr typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
SampleConsensusPtr typedefpcl::SACSegmentationFromNormals< PointT, PointNT >
samples_radius_pcl::SACSegmentation< PointT > [protected]
samples_radius_search_pcl::SACSegmentation< PointT > [protected]
SearchPtr typedefpcl::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 > [inline]
setIndices(const IndicesConstPtr &indices)pcl::PCLBase< PointT > [inline]
setIndices(const PointIndicesConstPtr &indices)pcl::PCLBase< PointT > [inline]
setIndices(size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols)pcl::PCLBase< PointT > [inline]
setInputCloud(const PointCloudConstPtr &cloud)pcl::PCLBase< PointT > [inline, 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]
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]
threshold_pcl::SACSegmentation< PointT > [protected]
use_indices_pcl::PCLBase< PointT > [protected]
~PCLBase()pcl::PCLBase< PointT > [inline, virtual]
~SACSegmentation()pcl::SACSegmentation< PointT > [inline, virtual]


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