Features Finding and Images Matching

Classes
class	cv::detail::AffineBestOf2NearestMatcher
	Features matcher similar to cv::detail::BestOf2NearestMatcher which finds two best matches for each feature and leaves the best one only if the ratio between descriptor distances is greater than the threshold match_conf. More...
class	cv::detail::BestOf2NearestMatcher
	Features matcher which finds two best matches for each feature and leaves the best one only if the ratio between descriptor distances is greater than the threshold match_conf. More...
class	cv::detail::BestOf2NearestRangeMatcher
class	cv::detail::FeaturesMatcher
	Feature matchers base class. More...
struct	cv::detail::ImageFeatures
	Structure containing image keypoints and descriptors. More...
struct	cv::detail::MatchesInfo
	Structure containing information about matches between two images. More...

Functions
void	cv::detail::computeImageFeatures (const Ptr< Feature2D > &featuresFinder, InputArrayOfArrays images, std::vector< ImageFeatures > &features, InputArrayOfArrays masks=noArray())
void	cv::detail::computeImageFeatures (const Ptr< Feature2D > &featuresFinder, InputArray image, ImageFeatures &features, InputArray mask=noArray())

Detailed Description

Function Documentation

computeImageFeatures() [1/2]

void cv::detail::computeImageFeatures	(	const Ptr< Feature2D > &	featuresFinder,
		InputArrayOfArrays	images,
		std::vector< ImageFeatures > &	features,
		InputArrayOfArrays	masks = noArray()
	)

Python:
	features	=	cv.detail.computeImageFeatures(	featuresFinder, images[, masks]	)
	features	=	cv.detail.computeImageFeatures2(	featuresFinder, image[, mask]	)

#include <opencv2/stitching/detail/matchers.hpp>

Parameters

featuresFinder
images
features
masks

Examples:

samples/cpp/stitching_detailed.cpp.

computeImageFeatures() [2/2]

void cv::detail::computeImageFeatures	(	const Ptr< Feature2D > &	featuresFinder,
		InputArray	image,
		ImageFeatures &	features,
		InputArray	mask = noArray()
	)

Python:
	features	=	cv.detail.computeImageFeatures(	featuresFinder, images[, masks]	)
	features	=	cv.detail.computeImageFeatures2(	featuresFinder, image[, mask]	)

#include <opencv2/stitching/detail/matchers.hpp>

Parameters

featuresFinder
image
features
mask