Package org.opencv.xfeatures2d

Class Xfeatures2d

  • public class Xfeatures2d
extends java.lang.Object

    • Constructor Detail

      • Xfeatures2d

        public Xfeatures2d()

    • Method Detail

      • matchGMS

        public static void matchGMS​(Size size1,
                            Size size2,
                            MatOfKeyPoint keypoints1,
                            MatOfKeyPoint keypoints2,
                            MatOfDMatch matches1to2,
                            MatOfDMatch matchesGMS,
                            boolean withRotation,
                            boolean withScale,
                            double thresholdFactor)
        GMS (Grid-based Motion Statistics) feature matching strategy by CITE: Bian2017gms .
        Parameters:
        size1 - Input size of image1.
        size2 - Input size of image2.
        keypoints1 - Input keypoints of image1.
        keypoints2 - Input keypoints of image2.
        matches1to2 - Input 1-nearest neighbor matches.
        matchesGMS - Matches returned by the GMS matching strategy.
        withRotation - Take rotation transformation into account.
        withScale - Take scale transformation into account.
        thresholdFactor - The higher, the less matches. Note: Since GMS works well when the number of features is large, we recommend to use the ORB feature and set FastThreshold to 0 to get as many as possible features quickly. If matching results are not satisfying, please add more features. (We use 10000 for images with 640 X 480). If your images have big rotation and scale changes, please set withRotation or withScale to true.

      • matchGMS

        public static void matchGMS​(Size size1,
                            Size size2,
                            MatOfKeyPoint keypoints1,
                            MatOfKeyPoint keypoints2,
                            MatOfDMatch matches1to2,
                            MatOfDMatch matchesGMS,
                            boolean withRotation,
                            boolean withScale)
        GMS (Grid-based Motion Statistics) feature matching strategy by CITE: Bian2017gms .
        Parameters:
        size1 - Input size of image1.
        size2 - Input size of image2.
        keypoints1 - Input keypoints of image1.
        keypoints2 - Input keypoints of image2.
        matches1to2 - Input 1-nearest neighbor matches.
        matchesGMS - Matches returned by the GMS matching strategy.
        withRotation - Take rotation transformation into account.
        withScale - Take scale transformation into account. Note: Since GMS works well when the number of features is large, we recommend to use the ORB feature and set FastThreshold to 0 to get as many as possible features quickly. If matching results are not satisfying, please add more features. (We use 10000 for images with 640 X 480). If your images have big rotation and scale changes, please set withRotation or withScale to true.

      • matchGMS

        public static void matchGMS​(Size size1,
                            Size size2,
                            MatOfKeyPoint keypoints1,
                            MatOfKeyPoint keypoints2,
                            MatOfDMatch matches1to2,
                            MatOfDMatch matchesGMS,
                            boolean withRotation)
        GMS (Grid-based Motion Statistics) feature matching strategy by CITE: Bian2017gms .
        Parameters:
        size1 - Input size of image1.
        size2 - Input size of image2.
        keypoints1 - Input keypoints of image1.
        keypoints2 - Input keypoints of image2.
        matches1to2 - Input 1-nearest neighbor matches.
        matchesGMS - Matches returned by the GMS matching strategy.
        withRotation - Take rotation transformation into account. Note: Since GMS works well when the number of features is large, we recommend to use the ORB feature and set FastThreshold to 0 to get as many as possible features quickly. If matching results are not satisfying, please add more features. (We use 10000 for images with 640 X 480). If your images have big rotation and scale changes, please set withRotation or withScale to true.

      • matchGMS

        public static void matchGMS​(Size size1,
                            Size size2,
                            MatOfKeyPoint keypoints1,
                            MatOfKeyPoint keypoints2,
                            MatOfDMatch matches1to2,
                            MatOfDMatch matchesGMS)
        GMS (Grid-based Motion Statistics) feature matching strategy by CITE: Bian2017gms .
        Parameters:
        size1 - Input size of image1.
        size2 - Input size of image2.
        keypoints1 - Input keypoints of image1.
        keypoints2 - Input keypoints of image2.
        matches1to2 - Input 1-nearest neighbor matches.
        matchesGMS - Matches returned by the GMS matching strategy. Note: Since GMS works well when the number of features is large, we recommend to use the ORB feature and set FastThreshold to 0 to get as many as possible features quickly. If matching results are not satisfying, please add more features. (We use 10000 for images with 640 X 480). If your images have big rotation and scale changes, please set withRotation or withScale to true.