Package org.opencv.xfeatures2d

Class BOWKMeansTrainer

java.lang.Object

org.opencv.xfeatures2d.BOWTrainer

org.opencv.xfeatures2d.BOWKMeansTrainer

public class BOWKMeansTrainer
extends BOWTrainer

kmeans -based class to train visual vocabulary using the *bag of visual words* approach. :

Field Summary

Fields inherited from class org.opencv.xfeatures2d.BOWTrainer

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
	BOWKMeansTrainer(int clusterCount)	The constructor.
	BOWKMeansTrainer(int clusterCount, TermCriteria termcrit)	The constructor.
	BOWKMeansTrainer(int clusterCount, TermCriteria termcrit, int attempts)	The constructor.
	BOWKMeansTrainer(int clusterCount, TermCriteria termcrit, int attempts, int flags)	The constructor.
protected	BOWKMeansTrainer(long addr)

Method Summary

Modifier and Type	Method	Description
static BOWKMeansTrainer	__fromPtr__(long addr)
Mat	cluster()
Mat	cluster(Mat descriptors)	Clusters train descriptors.
protected void	finalize()

Methods inherited from class org.opencv.xfeatures2d.BOWTrainer

add, clear, descriptorsCount, getDescriptors, getNativeObjAddr

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BOWKMeansTrainer

protected BOWKMeansTrainer(long addr)

BOWKMeansTrainer

public BOWKMeansTrainer(int clusterCount,
                        TermCriteria termcrit,
                        int attempts,
                        int flags)

The constructor. SEE: cv::kmeans

Parameters:

clusterCount - automatically generated

termcrit - automatically generated

attempts - automatically generated

flags - automatically generated

BOWKMeansTrainer

public BOWKMeansTrainer(int clusterCount,
                        TermCriteria termcrit,
                        int attempts)

The constructor. SEE: cv::kmeans

Parameters:

clusterCount - automatically generated

termcrit - automatically generated

attempts - automatically generated

BOWKMeansTrainer

public BOWKMeansTrainer(int clusterCount,
                        TermCriteria termcrit)

The constructor. SEE: cv::kmeans

Parameters:

clusterCount - automatically generated

termcrit - automatically generated

BOWKMeansTrainer

public BOWKMeansTrainer(int clusterCount)

The constructor. SEE: cv::kmeans

Parameters:

clusterCount - automatically generated

Method Detail

__fromPtr__

public static BOWKMeansTrainer __fromPtr__(long addr)

cluster

public Mat cluster()

Overrides:

cluster in class BOWTrainer

cluster

public Mat cluster(Mat descriptors)

Description copied from class: BOWTrainer

Clusters train descriptors.

Overrides:

cluster in class BOWTrainer

Parameters:

descriptors - Descriptors to cluster. Each row of the descriptors matrix is a descriptor. Descriptors are not added to the inner train descriptor set. The vocabulary consists of cluster centers. So, this method returns the vocabulary. In the first variant of the method, train descriptors stored in the object are clustered. In the second variant, input descriptors are clustered.

Returns:

automatically generated

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class BOWTrainer

Throws:

java.lang.Throwable