DataSet typedef | icl::math::RansacFitter< DataPoint, Model > | |
find_in(const std::vector< int > &v, int i, int n) | icl::math::RansacFitter< DataPoint, Model > | inlineprivatestatic |
find_random_consensus_set(DataSet &currConsensusSet, const DataSet &allPoints, std::vector< int > &usedIndices) | icl::math::RansacFitter< DataPoint, Model > | inlineprivate |
fit(const DataSet &allPoints) | icl::math::RansacFitter< DataPoint, Model > | inline |
m_err | icl::math::RansacFitter< DataPoint, Model > | private |
m_fitting | icl::math::RansacFitter< DataPoint, Model > | private |
m_iterations | icl::math::RansacFitter< DataPoint, Model > | private |
m_maxModelDistance | icl::math::RansacFitter< DataPoint, Model > | private |
m_minClosePointsForGoodModel | icl::math::RansacFitter< DataPoint, Model > | private |
m_minErrorExit | icl::math::RansacFitter< DataPoint, Model > | private |
m_minPointsForModel | icl::math::RansacFitter< DataPoint, Model > | private |
m_result | icl::math::RansacFitter< DataPoint, Model > | private |
ModelFitting typedef | icl::math::RansacFitter< DataPoint, Model > | |
PointError typedef | icl::math::RansacFitter< DataPoint, Model > | |
RansacFitter() | icl::math::RansacFitter< DataPoint, Model > | inline |
RansacFitter(int minPointsForModel, int iterations, ModelFitting fitting, PointError err, icl64f maxModelDistance, int minClosePointsForGoodModel, icl64f minErrorExit=0) | icl::math::RansacFitter< DataPoint, Model > | inline |