Leap Motion C++ 开发笔记（二） 打开摄像头

代码部分

主要使用了SDK中的frame.images()获取图像

遗憾的是，获取的图像仅为8位

摘自官方文档的说明：

If a 32-bit-per-component texture format is not available on your target platform, you can use a separate texture for the x and y lookup values and encode the floating point values into multiple 8-bit color components. You then have to decode the values before using them to look up the raw brightness values.

也就是说Leap Motion并不能像Kinect那样通过像素点得到精确的深度信息值

#include "Leap.h"
#include <iostream>
// OpenCV Header
#include<opencv2/opencv.hpp>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"

using namespace cv;
using namespace std;

using namespace Leap;

class SampleListener : public Listener {
public:
virtual void onInit(const Controller&);
virtual void onConnect(const Controller&);
virtual void onDisconnect(const Controller&);
virtual void onExit(const Controller&);
virtual void onFrame(const Controller&);
private:
};

void SampleListener::onInit(const Controller& controller) {
std::cout << "初始化完成~" << std::endl;
}

void SampleListener::onConnect(const Controller& controller) {
std::cout << "正在连接" << std::endl;
}

void SampleListener::onDisconnect(const Controller& controller) {
std::cout << "连接失败" << std::endl;
}

void SampleListener::onExit(const Controller& controller) {

}

void SampleListener::onFrame(const Controller& controller) {
const Frame frame = controller.frame();
ImageList images = frame.images();
Mat A;//左侧红外摄像头
Mat B;//右侧

if (images.count() >= 2)
{
A = Mat(images[0].height(), images[0].width(),CV_8UC1, (void *)images[0].data());
B = Mat(images[1].height(), images[1].width(), CV_8UC1, (void *)images[1].data());
imshow("left",A);
imshow("right", B);
waitKey(1);
}

}

int main(int argc, char** argv) {

SampleListener listener;
Controller controller;

controller.addListener(listener);
controller.setPolicy(Leap::Controller::POLICY_BACKGROUND_FRAMES);
controller.setPolicy(Leap::Controller::POLICY_IMAGES);
std::cout << "输入Enter退出" << std::endl;
std::cin.get();
controller.removeListener(listener);

return 0;
}

实现效果

右下图可以看出，左右两个红外摄像头区别还是很明显的