/// <summary>
/// For each query descriptor, finds the training descriptors not farther than the specified distance.
/// </summary>
/// <param name="queryDescriptors">Query set of descriptors.</param>
/// <param name="trainDescriptors">Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.</param>
/// <param name="matches">Found matches.</param>
/// <param name="maxDistance">Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!</param>
/// <param name="mask">Mask specifying permissible matches between an input query and train matrices of descriptors.</param>
/// <param name="compactResult">Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.</param>
public void RadiusMatch(
IInputArray queryDescriptors,
IInputArray trainDescriptors,
VectorOfVectorOfDMatch matches,
float maxDistance,
IInputArrayOfArrays mask = null,
bool compactResult = false)
{
using (InputArray iaQueryDesccriptor = queryDescriptors.GetInputArray())
using (InputArray iaTrainDescriptot = trainDescriptors.GetInputArray())
using (InputArray iaMask = mask == null ? InputArray.GetEmpty() : mask.GetInputArray())
{
Features2DInvoke.cveDescriptorMatcherRadiusMatch1(_descriptorMatcherPtr, iaQueryDesccriptor, iaTrainDescriptot, matches, maxDistance, iaMask, compactResult);
}
}
