Class implementing the Tree Based Morse Regions (TBMR) as described in [Najman2014] extended with scaled extraction ability. [詳解]
#include <xfeatures2d.hpp>
cv::xfeatures2d::AffineFeature2Dを継承しています。
公開メンバ関数 | |
| virtual CV_WRAP void | setMinArea (int minArea)=0 |
| virtual CV_WRAP int | getMinArea () const =0 |
| virtual CV_WRAP void | setMaxAreaRelative (float maxArea)=0 |
| virtual CV_WRAP float | getMaxAreaRelative () const =0 |
| virtual CV_WRAP void | setScaleFactor (float scale_factor)=0 |
| virtual CV_WRAP float | getScaleFactor () const =0 |
| virtual CV_WRAP void | setNScales (int n_scales)=0 |
| virtual CV_WRAP int | getNScales () const =0 |
 基底クラス cv::xfeatures2d::AffineFeature2D に属する継承公開メンバ関数 | |
| virtual void | detect (InputArray image, CV_OUT std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0 |
| Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions. | |
| virtual void | detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0 |
| Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles. | |
| virtual CV_WRAP void | detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray()) |
| Detects keypoints in an image (first variant) or image set (second variant). [詳解] | |
| virtual CV_WRAP void | detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
| virtual CV_WRAP void | detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
| 基底クラス cv::Feature2D に属する継承公開メンバ関数 | |
| virtual CV_WRAP void | compute (InputArray image, CV_OUT CV_IN_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors) |
| Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). [詳解] | |
| virtual CV_WRAP void | compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
| virtual CV_WRAP int | descriptorSize () const |
| virtual CV_WRAP int | descriptorType () const |
| virtual CV_WRAP int | defaultNorm () const |
| CV_WRAP void | write (const String &fileName) const |
| CV_WRAP void | read (const String &fileName) |
| virtual void | write (FileStorage &) const CV_OVERRIDE |
| Stores algorithm parameters in a file storage [詳解] | |
| virtual CV_WRAP void | read (const FileNode &) CV_OVERRIDE |
| Reads algorithm parameters from a file storage [詳解] | |
| virtual CV_WRAP bool | empty () const CV_OVERRIDE |
| Return true if detector object is empty [詳解] | |
| virtual CV_WRAP String | getDefaultName () const CV_OVERRIDE |
| CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| 基底クラス cv::Algorithm に属する継承公開メンバ関数 | |
| virtual CV_WRAP void | clear () |
| Clears the algorithm state [詳解] | |
| CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| simplified API for language bindings 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。 | |
| virtual CV_WRAP void | save (const String &filename) const |
静的公開メンバ関数 | |
| static CV_WRAP Ptr< TBMR > | create (int min_area=60, float max_area_relative=0.01f, float scale_factor=1.25f, int n_scales=-1) |
| 基底クラス cv::xfeatures2d::AffineFeature2D に属する継承静的公開メンバ関数 | |
| static Ptr< AffineFeature2D > | create (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor) |
| Creates an instance wrapping the given keypoint detector and descriptor extractor. | |
| static Ptr< AffineFeature2D > | create (Ptr< FeatureDetector > keypoint_detector) |
| Creates an instance where keypoint detector and descriptor extractor are identical. | |
| 基底クラス cv::Algorithm に属する継承静的公開メンバ関数 | |
| template<typename _Tp > | |
| static Ptr< _Tp > | read (const FileNode &fn) |
| Reads algorithm from the file node [詳解] | |
| template<typename _Tp > | |
| static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| Loads algorithm from the file [詳解] | |
| template<typename _Tp > | |
| static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| Loads algorithm from a String [詳解] | |
その他の継承メンバ | |
| 基底クラス cv::Algorithm に属する継承限定公開メンバ関数 | |
| void | writeFormat (FileStorage &fs) const |
詳解
Class implementing the Tree Based Morse Regions (TBMR) as described in [Najman2014] extended with scaled extraction ability.
- 引数
-
min_area prune areas smaller than minArea max_area_relative prune areas bigger than maxArea = max_area_relative * input_image_size scale_factor scale factor for scaled extraction. n_scales number of applications of the scale factor (octaves).
- 覚え書き
- This algorithm is based on Component Tree (Min/Max) as well as MSER but uses a Morse-theory approach to extract features.
Features are ellipses (similar to MSER, however a MSER feature can never be a TBMR feature and vice versa).
このクラス詳解は次のファイルから抽出されました:
