opencv寻找结构光的c++代码
时间: 2023-07-24 14:21:14 浏览: 49
以下是使用OpenCV进行结构光三维重建的C++代码示例:
```cpp
#include <opencv2/opencv.hpp>
#include <opencv2/core/utils/logger.hpp>
using namespace cv;
using namespace std;
// 结构光三维重建
int structured_light_reconstruction() {
// 读取图像
Mat pattern1 = imread("images/pattern1.png", IMREAD_GRAYSCALE);
Mat pattern2 = imread("images/pattern2.png", IMREAD_GRAYSCALE);
Mat pattern3 = imread("images/pattern3.png", IMREAD_GRAYSCALE);
Mat pattern4 = imread("images/pattern4.png", IMREAD_GRAYSCALE);
Mat pattern5 = imread("images/pattern5.png", IMREAD_GRAYSCALE);
Mat pattern6 = imread("images/pattern6.png", IMREAD_GRAYSCALE);
Mat pattern7 = imread("images/pattern7.png", IMREAD_GRAYSCALE);
Mat pattern8 = imread("images/pattern8.png", IMREAD_GRAYSCALE);
Mat pattern9 = imread("images/pattern9.png", IMREAD_GRAYSCALE);
Mat pattern10 = imread("images/pattern10.png", IMREAD_GRAYSCALE);
// 计算相位图
Mat phase1, phase2, phase3;
phase1 = (pattern1 - pattern2 + pattern3 - pattern4 + pattern5 - pattern6 + pattern7 - pattern8 + pattern9 - pattern10) / 10.0;
phase2 = (pattern1 - pattern3 + pattern5 - pattern7 + pattern9) / 5.0;
phase3 = (pattern2 - pattern4 + pattern6 - pattern8 + pattern10) / 5.0;
// 合成深度图
Mat depth_map = phase1 + phase2 + phase3;
// 显示结果
imshow("depth map", depth_map);
waitKey(0);
return 0;
}
int main(int argc, char** argv) {
// 执行结构光三维重建
structured_light_reconstruction();
return 0;
}
```
在这个示例中,我们首先加载了10张结构光图像,然后计算出相位图和深度图,最后将深度图显示出来。