V1.1
This release improves the Spatial Partitioning Package with new features and improved doc, as well as several bug fixes and API improvements.
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API
- [spatialPartitioning] Add kd-tree traits type (#80)
- [spatialPartitioning] Add knn-graphs (#101)
- [fitting] Add Primitive::getNumNeighbors (#86)
- [fitting] Add Primitive::getWeightFunc (#99)
- [fitting] Change naming convention and rational for principal curvatures in CurvatureEstimatorBase (#94)
- [fitting] Add class MeanNormalDer to compute derivatives of the mean normal vector (#78)
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Bug-fixes and code improvements
- [spatialPartitioning] Fix unwanted function hiding with DryFit::setWeightFunc (#86)
- [spatialPartitioning] Fix missing include directive in kdTreeTraits.h (#92)
- [spatialPartitioning] Fix duplicated code in KdTree queries (see issue #47) (#88)
- [fitting] Fix a potential bug when using multi-pass fitting (#89)
- [fitting] Fix a bug in CovarianceFit (#93)
- [fitting] Remove deadcode in Basket (#86)
- [fitting] Fix a bug in dtau computation for scale-only derivation (#98)
- [fitting] Fix a bug in MlsSphereFitDer weight derivatives (#97)
- [ci] Fix Compiler is out of heap space error on Github (MSVC), by splitting tests (#87)
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Tests
- Fix WeightKernel test (failing on windows due to finite differences) (#91)
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Docs