结合FAST 与 BRIEF,可以实现类似 SIFT 与 SURF 的功能,以下给出简单使用代码: 1cv::FastFeatureDetector detector(20);2std::vector<cv::KeyPoint>keypoints1, keypoints2;3detector.detect(img1, keypoints1);4detector.detect(img2, keypoints2);56cv::BriefDescriptorExtractor brief;7cv::Mat descriptors1,...
1cv::FastFeatureDetector detector(20);2std::vector<cv::KeyPoint>keypoints1, keypoints2;3detector.detect(img1, keypoints1);4detector.detect(img2, keypoints2);56cv::BriefDescriptorExtractor brief;7cv::Mat descriptors1, descriptors2;8brief.compute(img1, keypoints1, descriptors1);9brief.compute...
阿波罗船用光学烟雾探测器ORB-OP-42003-MARApollo探头58000-600MAR 8个Apollo底座45681-210MAR 8个烟雾探测器\型号:ORB-OP-42001-MAR\制造厂或品牌:APOLLO烟探头\型号:58000-600MAR\制造厂或品牌:APOLLO\设备名称:火气监控系统Detector Smoke Apollo 55000-600APO XP95Detector Heat Apollo 55000-401 T-FAS005...
Matdeors_box,deors_sence; Ptr<ORB>detector=ORB::create; detector->detectAndCompute(scene,Mat,keypoints_sence,deors_sence); detector->detectAndCompute(box,Mat,keypoints_obj,deors_box); vector<DMatch>matches; // 初始化flann匹配 // Ptr<FlannBasedMatcher> matcher = FlannBasedMatcher::create;...
("input image",scene);vector<KeyPoint>keypoints_obj,keypoints_sence;Mat descriptors_box,descriptors_sence;Ptr<ORB>detector=ORB::create();detector->detectAndCompute(scene,Mat(),keypoints_sence,descriptors_sence);detector->detectAndCompute(box,Mat(),keypoints_obj,descriptors_box);vector<DMatch>...
基本上，它是简单而复杂的，就像:我做错了什么？从上面的例子中可以看出，我检测特性并匹配它们的方法...
imread('./images/book_in_scene10.jpg') # 10/11为自拍的图像 # Initiate ORB detector: orb = cv2.ORB_create() # Detect the keypoints and compute the descriptors with ORB: keypoints_1, descriptors_1 = orb.detectAndCompute(image_query, None) keypoints_2, descriptors_2 = orb.detectAnd...
detector->detectAndCompute(box,Mat(),keypoints_obj,descriptors_box); vector<DMatch>matches; // 初始化flann匹配 // Ptrmatcher = FlannBasedMatcher::create(); // default is bad, using local sensitive hash(LSH) Ptr<DescriptorMatcher>matcher=makePtr<FlannBasedMatcher>(makePtr<flann::LshIndexParams...
img= cv.imread('simple.jpg',0)#Initiate ORB detectororb =cv.ORB_create()#find the keypoints with ORBkp =orb.detect(img,None)#compute the descriptors with ORBkp, des =orb.compute(img, kp)#draw only keypoints location,not size and orientationimg2 = cv.drawKeypoints(img, kp, None, ...
orbDetector->detectAndCompute(imgSmallCat, Mat(), kpSmallCat, descriptorSmallCat); Ptr<DescriptorMatcher>matcher = DescriptorMatcher::create(DescriptorMatcher::BRUTEFORCE); std::vector<DMatch>matchers; matcher->match(descriptorCat, descriptorSmallCat, matchers); ...