cv::BOWTrainer クラス

Abstract base class for training the bag of visual words vocabulary from a set of descriptors. [詳解]

#include <features2d.hpp>

cv::BOWKMeansTrainerに継承されています。

公開メンバ関数
CV_WRAP void	add (const Mat &descriptors)
	Adds descriptors to a training set. [詳解]
CV_WRAP const std::vector< Mat > &	getDescriptors () const
	Returns a training set of descriptors.
CV_WRAP int	descriptorsCount () const
	Returns the count of all descriptors stored in the training set.
virtual CV_WRAP void	clear ()
virtual CV_WRAP Mat	cluster () const =0
virtual CV_WRAP Mat	cluster (const Mat &descriptors) const =0
	Clusters train descriptors. [詳解]

限定公開変数類
std::vector< Mat >	descriptors
int	size

詳解

Abstract base class for training the bag of visual words vocabulary from a set of descriptors.

For details, see, for example, Visual Categorization with Bags of Keypoints by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004. :

関数詳解

add()

CV_WRAP void cv::BOWTrainer::add

(

const Mat &

descriptors

)

Adds descriptors to a training set.

引数

descriptors

Descriptors to add to a training set. Each row of the descriptors matrix is a descriptor.

The training set is clustered using clustermethod to construct the vocabulary.

cluster() [1/2]

virtual CV_WRAP Mat cv::BOWTrainer::cluster ( ) const

pure virtual

これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

cv::BOWKMeansTrainerで実装されています。

cluster() [2/2]

virtual CV_WRAP Mat cv::BOWTrainer::cluster ( const Mat &  descriptors ) const

pure virtual

Clusters train descriptors.

引数

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.

cv::BOWKMeansTrainerで実装されています。

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このクラス詳解は次のファイルから抽出されました:

• features2d.hpp