For every input query descriptor, retrieve the best matching one from a dataset provided from user or from the one internal to class

matches = matcher.match(queryDescriptors, trainDescriptors)
matches = matcher.match(queryDescriptors)
[...] = matcher.match(..., 'OptionName', optionValue, ...)

Input

• queryDescriptors query descriptors.
• trainDescriptors dataset of descriptors furnished by user.

Output

• matches vector to host retrieved matches.

Options

• Mask mask to select which input descriptors must be matched to one in dataset. In the second variant, a vector of masks (the i-th mask in vector indicates whether each input query can be matched with descriptors in dataset relative to i-th image). Not set by default.

For every input descriptor, find the best matching one:

• in the first variant, for a pair of images
• in the second variant, from one image to a set