, including all inherited members.
axis_ | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [private] |
computeModelCoefficients(const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) | pcl::SampleConsensusModelPlane< PointT > | [virtual] |
pcl::ConstPtr typedef | pcl::SampleConsensusModel< PointT > | |
pcl::SampleConsensusModelFromNormals::ConstPtr typedef | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | |
cos_angle_ | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [private] |
countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [virtual] |
distance_from_origin_ | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [private] |
doSamplesVerifyModel(const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) | pcl::SampleConsensusModelPlane< PointT > | [virtual] |
drawIndexSample(std::vector< int > &sample) | pcl::SampleConsensusModel< PointT > | [inline, protected] |
drawIndexSampleRadius(std::vector< int > &sample) | pcl::SampleConsensusModel< PointT > | [inline, protected] |
eps_angle_ | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [private] |
eps_dist_ | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [private] |
getAxis() | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
getDistanceFromOrigin() | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [virtual] |
getEpsAngle() | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
getEpsDist() | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
getIndices() const | pcl::SampleConsensusModel< PointT > | [inline] |
getInputCloud() const | pcl::SampleConsensusModel< PointT > | [inline] |
getInputNormals() | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | [inline] |
getModelType() const | pcl::SampleConsensusModelNormalParallelPlane< 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::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [protected, virtual] |
max_sample_checks_ | pcl::SampleConsensusModel< PointT > | [protected, static] |
normal_distance_weight_ | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | [protected] |
normals_ | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | [protected] |
optimizeModelCoefficients(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) | pcl::SampleConsensusModelPlane< PointT > | [virtual] |
PointCloud typedef | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | |
PointCloudConstPtr typedef | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | |
PointCloudNConstPtr typedef | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | |
PointCloudNPtr typedef | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | |
PointCloudPtr typedef | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | |
ProgressiveSampleConsensus< PointT > class | pcl::SampleConsensusModel< PointT > | [friend] |
projectPoints(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) | pcl::SampleConsensusModelPlane< PointT > | [virtual] |
Ptr typedef | pcl::SampleConsensusModelNormalParallelPlane< 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] |
SampleConsensusModelNormalParallelPlane(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
SampleConsensusModelNormalParallelPlane(const PointCloudConstPtr &cloud, const std::vector< int > &indices) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
SampleConsensusModelPlane(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModelPlane< PointT > | [inline] |
SampleConsensusModelPlane(const PointCloudConstPtr &cloud, const std::vector< int > &indices) | pcl::SampleConsensusModelPlane< 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, std::vector< int > &inliers) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [virtual] |
setAxis(const Eigen::Vector3f &ax) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
setDistanceFromOrigin(const double d) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
setEpsAngle(const double ea) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
setEpsDist(const double delta) | pcl::SampleConsensusModelNormalParallelPlane< PointT, PointNT > | [inline] |
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] |