Add descriptors to train descriptor collection.

Pins the object to be allocated by cvSetData.

Allocates the specified size of memory.

Clear train descriptors collection.

Releases the resources

Releases the resources

Return true if there are not train descriptors in collection.

Destructor

Returns the algorithm parameter

Returns the algorithm parameter

Returns the algorithm parameter

Returns the algorithm parameter

Returns the algorithm parameter

Returns the algorithm parameter

(Inherited from Algorithm.)

Returns the algorithm parameter

Get train descriptors collection.

Return true if the matcher supports mask in match methods.

Find k best matches for each query descriptor (in increasing order of distances). compactResult is used when mask is not empty. If compactResult is false matches vector will have the same size as queryDescriptors rows. If compactResult is true matches vector will not contain matches for fully masked out query descriptors.

Find k best matches for each query descriptor (in increasing order of distances). compactResult is used when mask is not empty. If compactResult is false matches vector will have the same size as queryDescriptors rows. If compactResult is true matches vector will not contain matches for fully masked out query descriptors.

Find one best match for each query descriptor (if mask is empty).

Find one best match for each query descriptor (if mask is empty).

Notifies the allocated size of memory.

(Inherited from Algorithm.)

(Inherited from Algorithm.)

Find best matches for each query descriptor which have distance less than maxDistance (in increasing order of distances).

Find best matches for each query descriptor which have distance less than maxDistance (in increasing order of distances).

Clean up any resources being used.

Sets the algorithm parameter

Sets the algorithm parameter

Sets the algorithm parameter

Sets the algorithm parameter

Sets the algorithm parameter

Sets the algorithm parameter

Sets the algorithm parameter

If this object is disposed, then ObjectDisposedException is thrown.

Returns a string that represents this Algorithm.

Train matcher (e.g. train flann index). In all methods to match the method train() is run every time before matching. Some descriptor matchers (e.g. BruteForceMatcher) have empty implementation of this method, other matchers really train their inner structures (e.g. FlannBasedMatcher trains flann::Index). So nonempty implementation of train() should check the class object state and do traing/retraining only if the state requires that (e.g. FlannBasedMatcher trains flann::Index if it has not trained yet or if new descriptors have been added to the train collection).