Package org.opencv.features2d

Class Feature2D

java.lang.Object
org.opencv.core.Algorithm
org.opencv.features2d.Feature2D
Direct Known Subclasses:
AffineFeature, AgastFeatureDetector, AKAZE, BRISK, FastFeatureDetector, GFTTDetector, KAZE, MSER, ORB, SIFT, SimpleBlobDetector
public class Feature2D
extends Algorithm
Abstract base class for 2D image feature detectors and descriptor extractors

  • Constructor Details

  • Method Details

    • __fromPtr__

      public static Feature2D __fromPtr__​(long addr)

    • detect

      public void detect​(Mat image, MatOfKeyPoint keypoints, Mat mask)
      Detects keypoints in an image (first variant) or image set (second variant).
      Parameters:
      image - Image.
      keypoints - The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
      mask - Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

    • detect

      public void detect​(Mat image, MatOfKeyPoint keypoints)
      Detects keypoints in an image (first variant) or image set (second variant).
      Parameters:
      image - Image.
      keypoints - The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] . matrix with non-zero values in the region of interest.

    • detect

      public void detect​(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks)
      Parameters:
      images - Image set.
      keypoints - The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
      masks - Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

    • detect

      public void detect​(List<Mat> images, List<MatOfKeyPoint> keypoints)
      Parameters:
      images - Image set.
      keypoints - The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] . masks[i] is a mask for images[i].

    • compute

      public void compute​(Mat image, MatOfKeyPoint keypoints, Mat descriptors)
      Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
      Parameters:
      image - Image.
      keypoints - Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).
      descriptors - Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

    • compute

      public void compute​(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors)
      Parameters:
      images - Image set.
      keypoints - Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).
      descriptors - Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

    • detectAndCompute

      public void detectAndCompute​(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, boolean useProvidedKeypoints)
      Detects keypoints and computes the descriptors
      Parameters:
      image - automatically generated
      mask - automatically generated
      keypoints - automatically generated
      descriptors - automatically generated
      useProvidedKeypoints - automatically generated

    • detectAndCompute

      public void detectAndCompute​(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors)
      Detects keypoints and computes the descriptors
      Parameters:
      image - automatically generated
      mask - automatically generated
      keypoints - automatically generated
      descriptors - automatically generated

    • descriptorSize

      public int descriptorSize()

    • descriptorType

      public int descriptorType()

    • defaultNorm

      public int defaultNorm()

    • write

      public void write​(String fileName)

    • read

      public void read​(String fileName)

    • empty

      public boolean empty()
      Description copied from class: Algorithm
      Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
      Overrides:
      empty in class Algorithm
      Returns:
      automatically generated

    • getDefaultName

      public String getDefaultName()
      Description copied from class: Algorithm
      Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
      Overrides:
      getDefaultName in class Algorithm
      Returns:
      automatically generated

    • finalize

      protected void finalize() throws Throwable
      Overrides:
      finalize in class Algorithm
      Throws:
      Throwable