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之前写过一遍关于学习surf算法的blog：http://blog.csdn.net/sangni007/article/details/7482960
但是代码比较麻烦，而且其中还涉及到flann算法（其中的Random KDTree+KNN），虽然能看明白，但是比较费劲，今天在文档中找到一个简化版本：
1.SurfFeatureDetector detector( minHessian );构造surf检测器；
detector.detect( img_1, keypoints_1 ); detector.detect( img_2, keypoints_2 );检测
2.SurfDescriptorExtractor extractor;提取描述结构
Mat descriptors_1, descriptors_2;
extractor.compute( img_1, keypoints_1, descriptors_1 ); extractor.compute( img_2, keypoints_2, descriptors_2 );
3.BruteForceMatcher< L2<float> > matcher;牛逼的匹配结构啊！！！！可以直接暴力测量距离
std::vector< DMatch > matches;
matcher.match( descriptors_1, descriptors_2, matches );
文档：http://opencv.itseez.com/modules/gpu/doc/feature_detection_and_description.html?highlight=bruteforce#gpu::BruteForceMatcher_GPU
PS：OpenCV 你是在太强悍了！！！只有我想不到，木有你办不到的啊！ 我真心跪了！
-
- #include <stdio.h>
- #include <iostream>
- #include "opencv2/core/core.hpp"
- #include "opencv2/features2d/features2d.hpp"
- #include "opencv2/highgui/highgui.hpp"
-
- using namespace cv;
- using namespace std;
-
- void readme();
-
- int main( int argc, char** argv )
- {
-
-
-
- Mat img_1 = imread( "D:/src.jpg", CV_LOAD_IMAGE_GRAYSCALE );
- Mat img_2 = imread( "D:/Demo.jpg", CV_LOAD_IMAGE_GRAYSCALE );
-
- if( !img_1.data || !img_2.data )
- { return -1; }
-
-
- int minHessian = 400;
-
- double t=getTickCount();
-
- SurfFeatureDetector detector( minHessian );
-
- std::vector<KeyPoint> keypoints_1, keypoints_2;
-
- detector.detect( img_1, keypoints_1 );
- detector.detect( img_2, keypoints_2 );
-
-
- SurfDescriptorExtractor extractor;
-
- Mat descriptors_1, descriptors_2;
-
- extractor.compute( img_1, keypoints_1, descriptors_1 );
- extractor.compute( img_2, keypoints_2, descriptors_2 );
-
-
- BruteForceMatcher< L2<float> > matcher;
- std::vector< DMatch > matches;
- matcher.match( descriptors_1, descriptors_2, matches );
- t=getTickCount()-t;
- t=t*1000/getTickFrequency();
-
- Mat img_matches;
- drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches );
- cout<<"Cost Time:"<<t<<endl;
-
- imshow("Matches", img_matches );
-
- waitKey(0);
-
- return 0;
- }
-
- void readme()
- { std::cout << " Usage: ./SURF_descriptor <img1> <img2>" << std::endl; }
图像中match的keypoints没有经过过滤。导致匹配点过多
文档地址：http://opencv.itseez.com/doc/tutorials/features2d/feature_description/feature_description.html?highlight=description
文档中还有一个版本带定位的和过滤Match的，
：http://opencv.itseez.com/doc/tutorials/features2d/feature_homography/feature_homography.html?highlight=drawmatchesflags
from: http://blog.csdn.net/yangtrees/article/details/7544133
学习OpenCV——Surf简化版
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原文地址：http://www.cnblogs.com/GarfieldEr007/p/5401909.html
