opencv3中SurfFeatureDetectorSurfDescriptorExtractorBruteForceMatcher的使用
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opencv2中SurfFeatureDetector、SurfDescriptorExtractor、BruteForceMatcher在opencv3中发生了改变。具体如何完成特征点匹配呢?示例如下:
//寻找关键点
int minHessian = 700;
Ptr<SURF>detector = SURF::create(minHessian);
detector->detect( srcImage1, keyPoint1 );
detector->detect( srcImage2, keyPoints2 );
//绘制特征关键点
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 );
//显示效果图
imshow("特征点检测效果图1", img_keypoints_1 );
imshow("特征点检测效果图2", img_keypoints_2 );
//计算特征向量
Ptr<SURF>extractor = SURF::create();
Mat descriptors1, descriptors2;
extractor->compute( srcImage1, keyPoint1, descriptors1 );
extractor->compute( srcImage2, keyPoints2, descriptors2 );
//使用BruteForce进行匹配
Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("BruteForce");
std::vector< DMatch > matches;
matcher->match( descriptors1, descriptors2, matches );
//绘制从两个图像中匹配出的关键点
Mat imgMatches;
drawMatches( srcImage1, keyPoint1, srcImage2, keyPoints2, matches, imgMatches );//进行绘制
//显示
imshow("匹配图", imgMatches );
3.x的特征检测:
- 算法:SURF,SIFT,BRIEF,FREAK
- 类:cv::xfeatures2d::SURF
- cv::xfeatures2d::SIFT
- cv::xfeatures::BriefDescriptorExtractor
- cv::xfeatures2d::FREAK
- cv::xfeatures2d::StarDetector
- 需要进行以下几步
- 加入opencv_contrib
- 包含opencv2/xfeatures2d.hpp
- using namepsace cv::xfeatures2d
- 使用create(),detect(),compute(),detectAndCompute()
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opencv3中SurfFeatureDetectorSurfDescriptorExtractorBruteForceMatcher的使用