BFMatcher Class

Initializes a new instance of the BFMatcher class

Gets or sets a memory address allocated by AllocMemory.

Gets or sets the byte length of the allocated memory

Native pointer of OpenCV structure

Gets or sets a handle which allocates using cvSetData.

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

Gets a value indicating whether this instance has been disposed.

Gets or sets a value indicating whether you permit disposing this instance.

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

Releases managed resources

Releases managed resources

Return true if there are not train descriptors in collection.

Determines whether the specified object is equal to the current object.

Destructor

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Serves as the default hash function.

Get train descriptors collection.

Gets the Type of the current instance.

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).

Creates a shallow copy of the current Object.

Notifies the allocated size of memory.

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).

Reads algorithm parameters from a file storage

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage fs).

If this object is disposed, then ObjectDisposedException is thrown.

Returns a string that represents the current object.

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).

Stores algorithm parameters in a file storage

Data pointer