//private IntPtr _sharedPtr;
/// <summary>
/// Create a shape context distance extractor
/// </summary>
/// <param name="comparer">The histogram cost extractor, use ChiHistogramCostExtractor as default</param>
/// <param name="transformer">The shape transformer, use ThinPlateSplineSphapeTransformer as default</param>
/// <param name="nAngularBins">Establish the number of angular bins for the Shape Context Descriptor used in the shape matching pipeline.</param>
/// <param name="nRadialBins">Establish the number of radial bins for the Shape Context Descriptor used in the shape matching pipeline.</param>
/// <param name="innerRadius">Set the inner radius of the shape context descriptor.</param>
/// <param name="outerRadius">Set the outer radius of the shape context descriptor.</param>
/// <param name="iterations">Iterations</param>
public ShapeContextDistanceExtractor(
HistogramCostExtractor comparer, IShapeTransformer transformer,
int nAngularBins = 12,
int nRadialBins = 4,
float innerRadius = 0.2f,
float outerRadius = 3,
int iterations = 3)
{
_ptr = ShapeInvoke.cveShapeContextDistanceExtractorCreate(nAngularBins, nRadialBins, innerRadius, outerRadius, iterations, comparer, transformer.ShapeTransformerPtr, ref _shapeDistanceExtractorPtr, ref _sharedPtr);
}
/// <summary>
/// Create a shape context distance extractor
/// </summary>
/// <param name="comparer">The histogram cost extractor, use ChiHistogramCostExtractor as default</param>
/// <param name="transformer">The shape transformer, use ThinPlateSplineSphapeTransformer as default</param>
/// <param name="nAngularBins">Establish the number of angular bins for the Shape Context Descriptor used in the shape matching pipeline.</param>
/// <param name="nRadialBins">Establish the number of radial bins for the Shape Context Descriptor used in the shape matching pipeline.</param>
/// <param name="innerRadius">Set the inner radius of the shape context descriptor.</param>
/// <param name="outerRadius">Set the outer radius of the shape context descriptor.</param>
/// <param name="iterations">Iterations</param>
public ShapeContextDistanceExtractor(
HistogramCostExtractor comparer, IShapeTransformer transformer,
int nAngularBins = 12,
int nRadialBins = 4,
float innerRadius = 0.2f,
float outerRadius = 3,
int iterations = 3)
{
_ptr = ShapeInvoke.cvShapeContextDistanceExtractorCreate(nAngularBins, nRadialBins, innerRadius, outerRadius, iterations, comparer, transformer.ShapeTransformerPtr, ref _shapeDistanceExtractorPtr);
}
/// <summary>
/// Apply a transformation, given a pre-estimated transformation parameters.
/// </summary>
/// <param name="transformer">The shape transformer</param>
/// <param name="input">Contour (set of points) to apply the transformation.</param>
/// <param name="output">Output contour.</param>
/// <returns></returns>
public static float ApplyTransformation(
this IShapeTransformer transformer,
IInputArray input,
IOutputArray output = null)
{
using (InputArray iaInput = input.GetInputArray())
using (OutputArray oaOutput = output == null ? OutputArray.GetEmpty() : output.GetOutputArray())
{
return(cveShapeTransformerApplyTransformation(
transformer.ShapeTransformerPtr,
iaInput,
oaOutput));
}
}
/// <summary>
/// Estimate the transformation parameters of the current transformer algorithm, based on point matches.
/// </summary>
/// <param name="transformer">The shape transformer</param>
/// <param name="transformingShape">Contour defining first shape.</param>
/// <param name="targetShape">Contour defining second shape (Target).</param>
/// <param name="matches">Standard vector of Matches between points.</param>
public static void EstimateTransformation(
this IShapeTransformer transformer,
IInputArray transformingShape,
IInputArray targetShape,
VectorOfDMatch matches)
{
using (InputArray iaTransformingShape = transformingShape.GetInputArray())
using (InputArray iaTargetShape = targetShape.GetInputArray())
{
cveShapeTransformerEstimateTransformation(
transformer.ShapeTransformerPtr,
iaTransformingShape,
iaTargetShape,
matches);
}
}
/// <summary>
/// Apply a transformation, given a pre-estimated transformation parameters, to an Image.
/// </summary>
/// <param name="transformer">The shape transformer</param>
/// <param name="transformingImage">Input image.</param>
/// <param name="output">Output image.</param>
/// <param name="flags">Image interpolation method.</param>
/// <param name="boarderMode">border style.</param>
/// <param name="borderValue">border value.</param>
public static void WarpImage(
this IShapeTransformer transformer,
IInputArray transformingImage,
IOutputArray output,
CvEnum.Inter flags = Inter.Linear,
CvEnum.BorderType boarderMode = BorderType.Constant,
MCvScalar borderValue = new MCvScalar())
{
using (InputArray iaTransformingImage = transformingImage.GetInputArray())
using (OutputArray oaOutput = output.GetOutputArray())
{
cveShapeTransformerWarpImage(
transformer.ShapeTransformerPtr,
iaTransformingImage,
oaOutput,
flags,
boarderMode,
ref borderValue);
}
}
