OpenCV  4.5.2
Open Source Computer Vision
Classes | Functions
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