cv::DynamicAdaptedFeatureDetector Class Reference

an adaptively adjusting detector that iteratively detects until the desired number of features are detected. Beware that this is not thread safe - as the adjustment of parameters breaks the const of the detection routine... /TODO Make this const correct and thread safe More...

#include <features2d.hpp>

Inheritance diagram for cv::DynamicAdaptedFeatureDetector:

List of all members.

Public Member Functions
	DynamicAdaptedFeatureDetector (const Ptr< AdjusterAdapter > &adjaster, int min_features=400, int max_features=500, int max_iters=5)
Protected Member Functions
virtual void	detectImpl (const Mat &image, vector< KeyPoint > &keypoints, const Mat &mask=Mat()) const

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Detailed Description

an adaptively adjusting detector that iteratively detects until the desired number of features are detected. Beware that this is not thread safe - as the adjustment of parameters breaks the const of the detection routine... /TODO Make this const correct and thread safe

sample usage: will create a detector that attempts to find 100 - 110 FAST Keypoints, and will at most run FAST feature detection 10 times until that number of keypoints are found Ptr<FeatureDetector> detector(new DynamicAdaptedFeatureDetector(new FastAdjuster(20,true),100, 110, 10));

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Constructor & Destructor Documentation

cv::DynamicAdaptedFeatureDetector::DynamicAdaptedFeatureDetector	(	const Ptr< AdjusterAdapter > &	adjaster,
		int	min_features = 400,
		int	max_features = 500,
		int	max_iters = 5
	)

Parameters:

	adjaster	an AdjusterAdapter that will do the detection and parameter adjustment
	max_features	the maximum desired number of features
	max_iters	the maximum number of times to try to adjust the feature detector params for the FastAdjuster this can be high, but with Star or Surf this can get time consuming
	min_features	the minimum desired features

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Member Function Documentation

virtual void cv::DynamicAdaptedFeatureDetector::detectImpl	(	const Mat &	image,
		vector< KeyPoint > &	keypoints,
		const Mat &	mask = Mat()
	)			const [protected, virtual]

Implements cv::FeatureDetector.

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The documentation for this class was generated from the following file:

• /home/grier/opencv/opencv/modules/features2d/include/opencv2/features2d/features2d.hpp