, including all inherited members.
best_inliers_ | sample_consensus::SACModel | [protected] |
best_model_ | sample_consensus::SACModel | [protected] |
closestLine(const std::vector< int > &indices, const std::vector< double > &model_coefficients, std::vector< int > *closest_line, std::vector< double > *closest_dist) | sample_consensus::SACModelParallelLines | |
closestLine(const std::set< int > &indices, const std::vector< double > &model_coefficients, std::vector< int > *closest_line, std::vector< double > *closest_dist) | sample_consensus::SACModelParallelLines | |
cloud_ | sample_consensus::SACModel | [protected] |
computeModelCoefficients(const std::vector< int > &samples) | sample_consensus::SACModelParallelLines | [virtual] |
doSamplesVerifyModel(const std::set< int > &indices, double threshold) | sample_consensus::SACModelParallelLines | [virtual] |
getBestInliers() | sample_consensus::SACModel | [inline] |
getBestModel() | sample_consensus::SACModel | [inline] |
getCloud() | sample_consensus::SACModel | [inline] |
getDistancesToModel(const std::vector< double > &model_coefficients, std::vector< double > &distances) | sample_consensus::SACModelParallelLines | [virtual] |
getIndices() | sample_consensus::SACModel | [inline] |
getModelCoefficients() | sample_consensus::SACModel | [inline] |
getModelType() | sample_consensus::SACModelParallelLines | [inline, virtual] |
getSamples(int &iterations, std::vector< int > &samples) | sample_consensus::SACModelParallelLines | [virtual] |
indices_ | sample_consensus::SACModel | [protected] |
max_line_sep_m_ | sample_consensus::SACModelParallelLines | |
min_line_sep_m_ | sample_consensus::SACModelParallelLines | |
model_coefficients_ | sample_consensus::SACModel | [protected] |
pointToLineSquareDistance(const geometry_msgs::Point32 &line_point1, const geometry_msgs::Point32 &line_point2, const geometry_msgs::Point32 &point) | sample_consensus::SACModelParallelLines | |
projectPoints(const std::vector< int > &inliers, const std::vector< double > &model_coefficients, sensor_msgs::PointCloud &projected_points) | sample_consensus::SACModelParallelLines | [virtual] |
projectPointsInPlace(const std::vector< int > &inliers, const std::vector< double > &model_coefficients) | sample_consensus::SACModelParallelLines | [virtual] |
refitModel(const std::vector< int > &inliers, std::vector< double > &refit_coefficients) | sample_consensus::SACModelParallelLines | [virtual] |
removeInliers() | sample_consensus::SACModel | [virtual] |
SACModel() | sample_consensus::SACModel | [inline] |
SACModel(sensor_msgs::PointCloud cloud) | sample_consensus::SACModel | [inline] |
SACModelParallelLines(double min_line_sep_m, double max_line_sep_m) | sample_consensus::SACModelParallelLines | [inline] |
selectWithinDistance(const std::vector< double > &model_coefficients, double threshold, std::vector< int > &inliers) | sample_consensus::SACModelParallelLines | [virtual] |
setBestInliers(const std::vector< int > &best_inliers) | sample_consensus::SACModel | [inline] |
setBestModel(std::vector< int > best_model) | sample_consensus::SACModel | [inline] |
setDataIndices(std::vector< int > indices) | sample_consensus::SACModel | [inline] |
setDataSet(sensor_msgs::PointCloud *cloud) | sample_consensus::SACModel | [inline] |
setDataSet(sensor_msgs::PointCloud *cloud, std::vector< int > indices) | sample_consensus::SACModel | [inline] |
testModelCoefficients(const std::vector< double > &model_coefficients) | sample_consensus::SACModelParallelLines | [inline, virtual] |
~SACModel() | sample_consensus::SACModel | [inline, virtual] |
~SACModelParallelLines() | sample_consensus::SACModelParallelLines | [inline, virtual] |