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gtsam
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The GncOptimizer class. More...
Go to the source code of this file.
Classes | |
| struct | gtsam::GncIterationTiming |
| Timing of one GNC outer iteration (all in seconds). More... | |
| struct | gtsam::GncTiming |
| Timing of a full GncOptimizer::optimize() call. More... | |
| class | gtsam::GncOptimizer< GncParameters > |
Namespaces | |
| namespace | gtsam |
| Global functions in a separate testing namespace. | |
Enumerations | |
| enum class | gtsam::GncFactorType { gtsam::Normal , gtsam::Inlier , gtsam::Outlier , gtsam::NonNoiseModel , gtsam::NullPointer } |
| Enum to classify factor types in GNC optimization. More... | |
Functions | |
| double | gtsam::Chi2inv (const double alpha, const size_t dofs) |
| bool | gtsam::isNullType (GncFactorType type) |
| bool | gtsam::isNonNoiseModelType (GncFactorType type) |
| bool | gtsam::needsWeightUpdate (GncFactorType type) |
| bool | gtsam::hasNoise (GncFactorType type) |
The GncOptimizer class.
Implementation of the paper: Yang, Antonante, Tzoumas, Carlone, "Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection", ICRA/RAL, 2020. (arxiv version: https://arxiv.org/pdf/1909.08605.pdf)
See also: Antonante, Tzoumas, Yang, Carlone, "Outlier-Robust Estimation: Hardness, Minimally-Tuned Algorithms, and Applications", arxiv: https://arxiv.org/pdf/2007.15109.pdf, 2020.
Implementation of the paper: Yang, Antonante, Tzoumas, Carlone, "Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection", ICRA/RAL, 2020. (arxiv version: https://arxiv.org/pdf/1909.08605.pdf)
See also: Antonante, Tzoumas, Yang, Carlone, "Outlier-Robust Estimation: Hardness, Minimally-Tuned Algorithms, and Applications", arxiv: https://arxiv.org/pdf/2007.15109.pdf, 2020.
Note: To adhere to GTSAM's definition of the control parameter $\mu$ we redefine the publications (above) parameter of $\mu$ as $\lambda$ in this implementation.