Module opencv::features2d

2D Features Framework

Feature Detection and Description

Descriptor Matchers

Matchers of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem. This section is devoted to matching descriptors that are represented as vectors in a multidimensional space. All objects that implement vector descriptor matchers inherit the DescriptorMatcher interface.

Drawing Function of Keypoints and Matches

Object Categorization

This section describes approaches based on local 2D features and used to categorize objects.

Hardware Acceleration Layer

Modules

• prelude

Structs

• AKAZE
  Class implementing the AKAZE keypoint detector and descriptor extractor, described in ANB13.
• AffineFeature
  Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in YM11 .
• AgastFeatureDetector
  Wrapping class for feature detection using the AGAST method. :
• BFMatcher
  Brute-force descriptor matcher.
• BOWImgDescriptorExtractor
  Class to compute an image descriptor using the bag of visual words.
• BOWKMeansTrainer
  kmeans -based class to train visual vocabulary using the bag of visual words approach. :
• BOWTrainer
  Abstract base class for training the bag of visual words vocabulary from a set of descriptors.
• BRISK
  Class implementing the BRISK keypoint detector and descriptor extractor, described in LCS11 .
• DescriptorMatcher
  Abstract base class for matching keypoint descriptors.
• FastFeatureDetector
  Wrapping class for feature detection using the FAST method. :
• Feature2D
• FlannBasedMatcher
  Flann-based descriptor matcher.
• GFTTDetector
  Wrapping class for feature detection using the goodFeaturesToTrack function. :
• KAZE
  Class implementing the KAZE keypoint detector and descriptor extractor, described in ABD12 .
• KeyPointsFilter
  A class filters a vector of keypoints.
• MSER
  Maximally stable extremal region extractor
• ORB
  Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor
• SIFT
  Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe Lowe04 .
• SimpleBlobDetector
  Class for extracting blobs from an image. :
• SimpleBlobDetector_Params

Enums

• AKAZE_DescriptorType
• AgastFeatureDetector_DetectorType
• DescriptorMatcher_MatcherType
• DrawMatchesFlags
• FastFeatureDetector_DetectorType
• KAZE_DiffusivityType
• ORB_ScoreType

Constants

• AKAZE_DESCRIPTOR_KAZE
• AKAZE_DESCRIPTOR_KAZE_UPRIGHT
  Upright descriptors, not invariant to rotation
• AKAZE_DESCRIPTOR_MLDB
• AKAZE_DESCRIPTOR_MLDB_UPRIGHT
  Upright descriptors, not invariant to rotation
• AgastFeatureDetector_AGAST_5_8
• AgastFeatureDetector_AGAST_7_12d
• AgastFeatureDetector_AGAST_7_12s
• AgastFeatureDetector_NONMAX_SUPPRESSION
• AgastFeatureDetector_OAST_9_16
• AgastFeatureDetector_THRESHOLD
• DescriptorMatcher_BRUTEFORCE
• DescriptorMatcher_BRUTEFORCE_HAMMING
• DescriptorMatcher_BRUTEFORCE_HAMMINGLUT
• DescriptorMatcher_BRUTEFORCE_L1
• DescriptorMatcher_BRUTEFORCE_SL2
• DescriptorMatcher_FLANNBASED
• DrawMatchesFlags_DEFAULT
  Output image matrix will be created (Mat::create), i.e. existing memory of output image may be reused. Two source image, matches and single keypoints will be drawn. For each keypoint only the center point will be drawn (without the circle around keypoint with keypoint size and orientation).
• DrawMatchesFlags_DRAW_OVER_OUTIMG
  Output image matrix will not be created (Mat::create). Matches will be drawn on existing content of output image.
• DrawMatchesFlags_DRAW_RICH_KEYPOINTS
  For each keypoint the circle around keypoint with keypoint size and orientation will be drawn.
• DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS
  Single keypoints will not be drawn.
• FastFeatureDetector_FAST_N
• FastFeatureDetector_NONMAX_SUPPRESSION
• FastFeatureDetector_THRESHOLD
• FastFeatureDetector_TYPE_5_8
• FastFeatureDetector_TYPE_7_12
• FastFeatureDetector_TYPE_9_16
• KAZE_DIFF_CHARBONNIER
• KAZE_DIFF_PM_G1
• KAZE_DIFF_PM_G2
• KAZE_DIFF_WEICKERT
• ORB_FAST_SCORE
• ORB_HARRIS_SCORE

Traits

• AKAZETrait
  Mutable methods for crate::features2d::AKAZE
• AKAZETraitConst
  Constant methods for crate::features2d::AKAZE
• AffineFeatureTrait
  Mutable methods for crate::features2d::AffineFeature
• AffineFeatureTraitConst
  Constant methods for crate::features2d::AffineFeature
• AgastFeatureDetectorTrait
  Mutable methods for crate::features2d::AgastFeatureDetector
• AgastFeatureDetectorTraitConst
  Constant methods for crate::features2d::AgastFeatureDetector
• BFMatcherTrait
  Mutable methods for crate::features2d::BFMatcher
• BFMatcherTraitConst
  Constant methods for crate::features2d::BFMatcher
• BOWImgDescriptorExtractorTrait
  Mutable methods for crate::features2d::BOWImgDescriptorExtractor
• BOWImgDescriptorExtractorTraitConst
  Constant methods for crate::features2d::BOWImgDescriptorExtractor
• BOWKMeansTrainerTrait
  Mutable methods for crate::features2d::BOWKMeansTrainer
• BOWKMeansTrainerTraitConst
  Constant methods for crate::features2d::BOWKMeansTrainer
• BOWTrainerTrait
  Mutable methods for crate::features2d::BOWTrainer
• BOWTrainerTraitConst
  Constant methods for crate::features2d::BOWTrainer
• BRISKTrait
  Mutable methods for crate::features2d::BRISK
• BRISKTraitConst
  Constant methods for crate::features2d::BRISK
• DescriptorMatcherTrait
  Mutable methods for crate::features2d::DescriptorMatcher
• DescriptorMatcherTraitConst
  Constant methods for crate::features2d::DescriptorMatcher
• FastFeatureDetectorTrait
  Mutable methods for crate::features2d::FastFeatureDetector
• FastFeatureDetectorTraitConst
  Constant methods for crate::features2d::FastFeatureDetector
• Feature2DTrait
  Mutable methods for crate::features2d::Feature2D
• Feature2DTraitConst
  Constant methods for crate::features2d::Feature2D
• FlannBasedMatcherTrait
  Mutable methods for crate::features2d::FlannBasedMatcher
• FlannBasedMatcherTraitConst
  Constant methods for crate::features2d::FlannBasedMatcher
• GFTTDetectorTrait
  Mutable methods for crate::features2d::GFTTDetector
• GFTTDetectorTraitConst
  Constant methods for crate::features2d::GFTTDetector
• KAZETrait
  Mutable methods for crate::features2d::KAZE
• KAZETraitConst
  Constant methods for crate::features2d::KAZE
• KeyPointsFilterTrait
  Mutable methods for crate::features2d::KeyPointsFilter
• KeyPointsFilterTraitConst
  Constant methods for crate::features2d::KeyPointsFilter
• MSERTrait
  Mutable methods for crate::features2d::MSER
• MSERTraitConst
  Constant methods for crate::features2d::MSER
• ORBTrait
  Mutable methods for crate::features2d::ORB
• ORBTraitConst
  Constant methods for crate::features2d::ORB
• SIFTTrait
  Mutable methods for crate::features2d::SIFT
• SIFTTraitConst
  Constant methods for crate::features2d::SIFT
• SimpleBlobDetectorTrait
  Mutable methods for crate::features2d::SimpleBlobDetector
• SimpleBlobDetectorTraitConst
  Constant methods for crate::features2d::SimpleBlobDetector

Functions

• agast
  Detects corners using the AGAST algorithm
• agast_with_type
  Detects corners using the AGAST algorithm
• compute_recall_precision_curve
• draw_keypoints
  Draws keypoints.
• draw_matches
  Draws the found matches of keypoints from two images.
• draw_matches_1
  Draws the found matches of keypoints from two images.
• draw_matches_knn
  C++ default parameters
• evaluate_feature_detector
  
  Functions to evaluate the feature detectors and [generic] descriptor extractors * **
• fast
  Detects corners using the FAST algorithm
• fast_with_type
  Detects corners using the FAST algorithm
• get_nearest_point
• get_recall

Type Definitions

• AffineDescriptorExtractor
• AffineFeatureDetector
• DescriptorExtractor
  Extractors of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem. This section is devoted to computing descriptors represented as vectors in a multidimensional space. All objects that implement the vector descriptor extractors inherit the DescriptorExtractor interface.
• FeatureDetector
  Feature detectors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem. All objects that implement keypoint detectors inherit the FeatureDetector interface.
• SiftDescriptorExtractor
• SiftFeatureDetector