, including all inherited members.
axis_ | pcl::SACSegmentation< PointT > | [protected] |
deinitCompute() | pcl::PCLBase< PointT > | [protected] |
eps_angle_ | pcl::SACSegmentation< PointT > | [protected] |
fake_indices_ | pcl::PCLBase< PointT > | [protected] |
getAxis() const | pcl::SACSegmentation< PointT > | [inline] |
getClassName() const | pcl::SACSegmentation< PointT > | [inline, protected, virtual] |
getDistanceThreshold() const | pcl::SACSegmentation< PointT > | [inline] |
getEpsAngle() const | pcl::SACSegmentation< PointT > | [inline] |
getIndices() | pcl::PCLBase< PointT > | [inline] |
getInputCloud() | pcl::PCLBase< PointT > | [inline] |
getMaxIterations() const | pcl::SACSegmentation< PointT > | [inline] |
getMethod() const | pcl::SACSegmentation< PointT > | [inline] |
getMethodType() const | pcl::SACSegmentation< PointT > | [inline] |
getModel() const | pcl::SACSegmentation< PointT > | [inline] |
getModelType() const | pcl::SACSegmentation< PointT > | [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 > | [protected, virtual] |
initSACModel(const int model_type) | pcl::SACSegmentation< PointT > | [protected, virtual] |
input_ | pcl::PCLBase< PointT > | [protected] |
max_iterations_ | pcl::SACSegmentation< PointT > | [protected] |
method_type_ | pcl::SACSegmentation< PointT > | [protected] |
model_ | pcl::SACSegmentation< PointT > | [protected] |
model_type_ | pcl::SACSegmentation< PointT > | [protected] |
operator[](size_t pos) | pcl::PCLBase< PointT > | [inline] |
optimize_coefficients_ | pcl::SACSegmentation< PointT > | [protected] |
PCLBase() | pcl::PCLBase< PointT > | |
PCLBase(const PCLBase &base) | pcl::PCLBase< PointT > | |
PointCloud typedef | pcl::SACSegmentation< PointT > | |
PointCloudConstPtr typedef | pcl::SACSegmentation< PointT > | |
PointCloudPtr typedef | pcl::SACSegmentation< PointT > | |
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] |
SampleConsensusModelPtr typedef | pcl::SACSegmentation< PointT > | |
SampleConsensusPtr typedef | pcl::SACSegmentation< PointT > | |
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] |
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(size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols) | pcl::PCLBase< PointT > | [virtual] |
setInputCloud(const PointCloudConstPtr &cloud) | pcl::PCLBase< PointT > | [virtual] |
setMaxIterations(int max_iterations) | pcl::SACSegmentation< PointT > | [inline] |
setMethodType(int method) | pcl::SACSegmentation< PointT > | [inline] |
setModelType(int model) | 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] |
threshold_ | pcl::SACSegmentation< PointT > | [protected] |
use_indices_ | pcl::PCLBase< PointT > | [protected] |
~PCLBase() | pcl::PCLBase< PointT > | [inline, virtual] |
~SACSegmentation() | pcl::SACSegmentation< PointT > | [inline, virtual] |