/// <summary>
/// Detect keypoints in an image and compute the descriptors on the image from the keypoint locations.
/// </summary>
/// <param name="image">The image</param>
/// <param name="mask">The optional mask, can be null if not needed</param>
/// <param name="keyPoints">The detected keypoints will be stored in this vector</param>
/// <param name="descriptors">The descriptors from the keypoints</param>
/// <param name="useProvidedKeyPoints">If true, the method will skip the detection phase and will compute descriptors for the provided keypoints</param>
public void DetectAndCompute(IInputArray image, IInputArray mask, VectorOfKeyPoint keyPoints, IOutputArray descriptors, bool useProvidedKeyPoints)
{
using (InputArray iaImage = image.GetInputArray())
using (InputArray iaMask = mask == null ? InputArray.GetEmpty() : mask.GetInputArray())
using (OutputArray oaDescriptors = descriptors.GetOutputArray())
Feature2DInvoke.CvFeature2DDetectAndCompute(_ptr, iaImage, iaMask, keyPoints, oaDescriptors, useProvidedKeyPoints);
}
/// <summary>
/// Detect the features in the image
/// </summary>
/// <param name="keypoints">The result vector of keypoints</param>
/// <param name="image">The image from which the features will be detected from</param>
/// <param name="mask">The optional mask.</param>
public void DetectRaw(IInputArray image, VectorOfKeyPoint keypoints, IInputArray mask = null)
{
using (InputArray iaImage = image.GetInputArray())
using (InputArray iaMask = mask == null ? InputArray.GetEmpty() : mask.GetInputArray())
Feature2DInvoke.CvFeature2DDetect(_feature2D, iaImage, keypoints.Ptr, iaMask);
}
/*
* /// <summary>
* /// Compute the descriptor given the image and the point location
* /// </summary>
* /// <param name="extractor">The descriptor extractor</param>
* /// <param name="image">The image where the descriptor will be computed from</param>
* /// <param name="keyPoints">The keypoint where the descriptor will be computed from</param>
* /// <returns>The descriptors founded on the keypoint location</returns>
* public static ImageFeature<TDescriptor>[] Compute<TColor, TDescriptor>(this IDescriptorExtractor<TColor, TDescriptor> extractor, Image<TColor, Byte> image, MKeyPoint[] keyPoints)
* where TColor : struct, IColor
* where TDescriptor : struct
* {
* if (keyPoints.Length == 0) return new ImageFeature<TDescriptor>[0];
* using (VectorOfKeyPoint kpts = new VectorOfKeyPoint())
* {
* kpts.Push(keyPoints);
* using (Matrix<TDescriptor> descriptor = extractor.Compute(image, kpts))
* {
* return ImageFeature<TDescriptor>.ConvertFromRaw(kpts, descriptor);
* }
* }
* }*/
/// <summary>
/// Compute the descriptors on the image from the given keypoint locations.
/// </summary>
/// <param name="image">The image to compute descriptors from</param>
/// <param name="keyPoints">The keypoints where the descriptor computation is perfromed</param>
/// <param name="descriptors">The descriptors from the given keypoints</param>
public void Compute(IInputArray image, VectorOfKeyPoint keyPoints, IOutputArray descriptors)
{
using (InputArray iaImage = image.GetInputArray())
using (OutputArray oaDescriptors = descriptors.GetOutputArray())
Feature2DInvoke.CvFeature2DCompute(_feature2D, iaImage, keyPoints.Ptr, oaDescriptors);
}
