ENH: Add Active Registration Model metrics #450
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Kasper Marstal and Stefan Klein "Active registration models", Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330Y (24 February 2017); https://doi.org/10.1117/12.2254356)
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Mhm, I disabled the metrics by default because of the external dependency on boost. Seems like it still tries to find boost even though the metrics are disabled. Will fix this. |
N-Dekker
reviewed
Apr 1, 2021
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| template <class F> | ||
| typename boost::result_of<F()>::type callstatismoImpl(F f) const { |
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Maybe decltype(F()), instead of boost::result_of?
N-Dekker
reviewed
Apr 2, 2021
| float noiseVariance, | ||
| double modelVarianceRetained | ||
| ) { | ||
| statismo::StatisticalModel<Representer>* model_statismo = callstatismoImpl(boost::bind(&ImplType::BuildNewModel, this->m_impl, SampleDataStructureList, surrogateTypes, conditioningInfo, noiseVariance, modelVarianceRetained)); |
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Instead of boost::bind, maybe use std::bind...?
N-Dekker
reviewed
Apr 2, 2021
| typedef MeshType DatasetType; | ||
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| // An unordered map is used to cache pointid for corresonding points | ||
| typedef boost::unordered_map<PointType, unsigned> PointCacheType; |
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Instead of boost::unordered_map, maybe use std::unordered_map...?
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This PR adds an intensity penalty metric and a shape penalty metric inspired by Active Appearance Models. The metrics are disabled by default.
Kasper Marstal and Stefan Klein "Active registration models", Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330Y (24 February 2017); https://doi.org/10.1117/12.2254356).