opencv3中SurfFeatureDetector、SurfDescriptorExtractor、BruteForceMatcher的使用

opencv2中SurfFeatureDetector、SurfDescriptorExtractor、BruteForceMatcher在opencv3中發生了改變。具體如何完成特征點匹配呢？示例如下：

//尋找關鍵點

int minHessian = 700;

Ptr<SURF>detector = SURF::create(minHessian);

detector->detect( srcImage1, keyPoint1 );

detector->detect( srcImage2, keyPoints2 );

 

//繪制特征關鍵點

Mat img_keypoints_1; Mat img_keypoints_2;

drawKeypoints( srcImage1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT );

drawKeypoints( srcImage2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT );

 

//顯示效果圖

imshow("特征點檢測效果圖1", img_keypoints_1 );

imshow("特征點檢測效果圖2", img_keypoints_2 );

 

//計算特征向量

Ptr<SURF>extractor = SURF::create();

Mat descriptors1, descriptors2;

extractor->compute( srcImage1, keyPoint1, descriptors1 );

extractor->compute( srcImage2, keyPoints2, descriptors2 );

 

//使用BruteForce進行匹配

Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("BruteForce");

std::vector< DMatch > matches;

matcher->match( descriptors1, descriptors2, matches );

 

//繪制從兩個圖像中匹配出的關鍵點

Mat imgMatches;

drawMatches( srcImage1, keyPoint1, srcImage2, keyPoints2, matches, imgMatches );//進行繪制

 

//顯示

imshow("匹配圖", imgMatches );

 

3.x的特征檢測:

• 算法：SURF,SIFT,BRIEF,FREAK 
• 類：cv::xfeatures2d::SURF

1. cv::xfeatures2d::SIFT
2. cv::xfeatures::BriefDescriptorExtractor
3. cv::xfeatures2d::FREAK
4. cv::xfeatures2d::StarDetector

• 需要進行以下幾步

1. 加入opencv_contrib
2. 包含opencv2/xfeatures2d.hpp
3. using namepsace cv::xfeatures2d
4. 使用create(),detect(),compute(),detectAndCompute()