Expand description
§Shape Distance and Matching
Modules§
Structs§
- Affine
Transformer - Wrapper class for the OpenCV Affine Transformation algorithm. :
- ChiHistogram
Cost Extractor - An Chi based cost extraction. :
- EMDHistogram
Cost Extractor - An EMD based cost extraction. :
- EMDL1
Histogram Cost Extractor - An EMD-L1 based cost extraction. :
- Hausdorff
Distance Extractor
- Histogram
Cost Extractor - Abstract base class for histogram cost algorithms.
- Norm
Histogram Cost Extractor - A norm based cost extraction. :
- Shape
Context Distance Extractor
- Shape
Distance Extractor - @example modules/shape/samples/shape_example.cpp An example using shape distance algorithm
- Shape
Transformer - Abstract base class for shape transformation algorithms.
- Thin
Plate Spline Shape Transformer - Definition of the transformation
Traits§
- Affine
Transformer Trait - Mutable methods for crate::shape::AffineTransformer
- Affine
Transformer Trait Const - Constant methods for crate::shape::AffineTransformer
- ChiHistogram
Cost Extractor Trait - Mutable methods for crate::shape::ChiHistogramCostExtractor
- ChiHistogram
Cost Extractor Trait Const - Constant methods for crate::shape::ChiHistogramCostExtractor
- EMDHistogram
Cost Extractor Trait - Mutable methods for crate::shape::EMDHistogramCostExtractor
- EMDHistogram
Cost Extractor Trait Const - Constant methods for crate::shape::EMDHistogramCostExtractor
- EMDL1
Histogram Cost Extractor Trait - Mutable methods for crate::shape::EMDL1HistogramCostExtractor
- EMDL1
Histogram Cost Extractor Trait Const - Constant methods for crate::shape::EMDL1HistogramCostExtractor
- Hausdorff
Distance Extractor Trait - Mutable methods for crate::shape::HausdorffDistanceExtractor
- Hausdorff
Distance Extractor Trait Const - Constant methods for crate::shape::HausdorffDistanceExtractor
- Histogram
Cost Extractor Trait - Mutable methods for crate::shape::HistogramCostExtractor
- Histogram
Cost Extractor Trait Const - Constant methods for crate::shape::HistogramCostExtractor
- Norm
Histogram Cost Extractor Trait - Mutable methods for crate::shape::NormHistogramCostExtractor
- Norm
Histogram Cost Extractor Trait Const - Constant methods for crate::shape::NormHistogramCostExtractor
- Shape
Context Distance Extractor Trait - Mutable methods for crate::shape::ShapeContextDistanceExtractor
- Shape
Context Distance Extractor Trait Const - Constant methods for crate::shape::ShapeContextDistanceExtractor
- Shape
Distance Extractor Trait - Mutable methods for crate::shape::ShapeDistanceExtractor
- Shape
Distance Extractor Trait Const - Constant methods for crate::shape::ShapeDistanceExtractor
- Shape
Transformer Trait - Mutable methods for crate::shape::ShapeTransformer
- Shape
Transformer Trait Const - Constant methods for crate::shape::ShapeTransformer
- Thin
Plate Spline Shape Transformer Trait - Mutable methods for crate::shape::ThinPlateSplineShapeTransformer
- Thin
Plate Spline Shape Transformer Trait Const - Constant methods for crate::shape::ThinPlateSplineShapeTransformer
Functions§
- create_
affine_ transformer - Complete constructor
- create_
chi_ histogram_ cost_ extractor - C++ default parameters
- create_
chi_ histogram_ cost_ extractor_ def - Note
- create_
emd_ histogram_ cost_ extractor - C++ default parameters
- create_
emd_ histogram_ cost_ extractor_ def - Note
- create_
emdl1_ histogram_ cost_ extractor - C++ default parameters
- create_
emdl1_ histogram_ cost_ extractor_ def - Note
- create_
hausdorff_ distance_ extractor - C++ default parameters
- create_
hausdorff_ distance_ extractor_ def - Note
- create_
norm_ histogram_ cost_ extractor - C++ default parameters
- create_
norm_ histogram_ cost_ extractor_ def - Note
- create_
shape_ context_ distance_ extractor - C++ default parameters
- create_
shape_ context_ distance_ extractor_ def - Note
- create_
thin_ plate_ spline_ shape_ transformer - Complete constructor
- create_
thin_ plate_ spline_ shape_ transformer_ def - Complete constructor
- emdl1
- Computes the “minimal work” distance between two weighted point configurations base on the papers “EMD-L1: An efficient and Robust Algorithm for comparing histogram-based descriptors”, by Haibin Ling and Kazunori Okuda; and “The Earth Mover’s Distance is the Mallows Distance: Some Insights from Statistics”, by Elizaveta Levina and Peter Bickel.