| setMinMaxSuggestionWeight(double, double) |   | 81% | | 75% | 1 | 3 | 1 | 7 | 0 | 1 |
| estimateCovarianceLevenbergMarquardt(PinholeCamera, double) | | 100% | | 100% | 0 | 4 | 0 | 31 | 0 | 1 |
| refinePowell(PinholeCamera) | | 100% | | 100% | 0 | 5 | 0 | 18 | 0 | 1 |
| refine(PinholeCamera) | | 100% | | 100% | 0 | 7 | 0 | 14 | 0 | 1 |
| refinementStepPowell(PowellMultiOptimizer, DecomposedPointCorrespondencePinholeCameraRefiner.RefinementMultiDimensionFunctionEvaluatorListener, double[], double) | | 100% | | 100% | 0 | 2 | 0 | 9 | 0 | 1 |
| DecomposedPointCorrespondencePinholeCameraRefiner(PinholeCamera, boolean, BitSet, double[], int, List, List, double) | | 100% | | n/a | 0 | 1 | 0 | 5 | 0 | 1 |
| setSuggestionWeightStep(double) | | 100% | | 100% | 0 | 3 | 0 | 6 | 0 | 1 |
| DecomposedPointCorrespondencePinholeCameraRefiner(PinholeCamera, boolean, InliersData, List, List, double) | | 100% | | n/a | 0 | 1 | 0 | 5 | 0 | 1 |
| DecomposedPointCorrespondencePinholeCameraRefiner() | | 100% | | n/a | 0 | 1 | 0 | 5 | 0 | 1 |
| setMinSuggestionWeight(double) | | 100% | | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
| setMaxSuggestionWeight(double) | | 100% | | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
| getMinSuggestionWeight() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getMaxSuggestionWeight() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getSuggestionWeightStep() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |