#include<math.h> #defineRATIO0.4 usingnamespacecv; usingnamespacestd; intmain(intargc,char**argv){ Matbox=imread("D:/vcprojects/images/box.png"); Matscene=imread("D:/vcprojects/images/box_in_scene.png"); if(scene.empty){ printf("could not load image...\n"); return-1; } imshow...
AI代码解释 #defineGET_VALUE(idx)center[cvRound(pattern[idx].x*b+pattern[idx].y*a)*step+cvRound(pattern[idx].x*a-pattern[idx].y*b)] 其中,a = (float)cos(angle)和b = (float)sin(angle) 背后的原理呢?可能大家这么多知识点看下来都懵逼了,我自己一次性梳理起来也很凌乱的。那就回顾一下《...
AI代码解释 #include<opencv2/opencv.hpp>#include<iostream>#include<math.h>#defineRATIO0.4using namespace cv;using namespace std;intmain(int argc,char**argv){Mat box=imread("D:/vcprojects/images/box.png");Mat scene=imread("D:/vcprojects/images/box_in_scene.png");if(scene.empty()){prin...
The input to the Search call are a list of filtering attributes that define the companies in the list. These filters can include the geographic location of the companies (at a city, state or country level), revenue, number of employees and their industry profile (e.g., SIC, NAICS, or ...
#define GET_VALUE(idx) \ (x = pattern[idx].x*a - pattern[idx].y*b, \ //计算旋转后的位置 y = pattern[idx].x*b + pattern[idx].y*a, \ ix = cvRound(x), \ iy = cvRound(y), \ *(center + iy*step + ix) ) //判决,并二进制编码 ...
我正在尝试使用 FLANN 以比蛮力更快的方式匹配特征描述符。 // Ratio to the second neighbor to consider a good match. #define RATIO 0.75 void matchFeatures(const cv::Mat &query, const cv::Mat &target, std::vector<cv::DMatch> &goodMatches) { ...
Previous view of Rituel de Fille The Black Orb Enigmatic Eyeliner in Iron Next view of Rituel de Fille The Black Orb Enigmatic Eyeliner in Iron Image 1 , currently selected Image 2 Image 3 Image 4 Image 5 Image 6 Image 7 Image 8 Image 9 THE BLACK ORB ENIGMATIC EYELINER 眼线膏/眼线...
BRIEF算法的核心思想是在关键点P的周围S*S大小的范围内以一定模式选取N个点对,把这N个点对的比较结果组合起来作为描述子。为了保持踩点固定,工程上采用特殊设计的固定的pattern来做。 详细可以看: https://www.cnblogs.com/long5683/p/9737510.html
#ifndef _FILEYAML_H #define _FILEYAML_H #include <iostream> #include <fstream> using namespace std; #include <opencv/cv.h> #include <opencv2/calib3d.hpp> #include <opencv2/features2d/features2d.hpp> #include<opencv2/opencv.hpp> #include <Eigen/Core> #include <openc...
#define GET_VALUE(idx) center[cvRound(pattern[idx].x*b + pattern[idx].y*a)*step + cvRound(pattern[idx].x*a - pattern[idx].y*b)] //brief描述子由32*8位组成 //其中每一位是来自于两个像素点灰度的直接比较,所以每比较出8bit结果,需要16个随机点,这也就是为什么pattern需要+=16的原因 ...