opencv::AKAZE检测

AKAZE局部匹配

AKAZE局部匹配介绍 
    AOS 构造尺度空间 
    Hessian矩阵特征点检测 
    方向指定基于一阶微分图像 
    描述子生成 
    
与SIFT、SUFR比较 
    更加稳定 
    非线性尺度空间 
    AKAZE速度更加快 
    比较新的算法，只有OpenCV新版本才可以用 

#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main(int argc, char** argv) {
    Mat src = imread("D:/vcprojects/images/test.png", IMREAD_GRAYSCALE);
    if (src.empty()) {
        printf("could not load image...\n");
        return -1;
    }
    imshow("input image", src);

    // kaze detection
    Ptr<AKAZE> detector = AKAZE::create();
    vector<KeyPoint> keypoints;
    double t1 = getTickCount();
    detector->detect(src, keypoints, Mat());
    double t2 = getTickCount();
    double tkaze = 1000 * (t2 - t1) / getTickFrequency();
    printf("KAZE Time consume(ms) : %f", tkaze);

    Mat keypointImg;
    drawKeypoints(src, keypoints, keypointImg, Scalar::all(-1), DrawMatchesFlags::DEFAULT);
    imshow("kaze key points", keypointImg);

    waitKey(0);
    return 0;
}