| 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 |