我正在尝试使用here中的示例代码。
为了将图像保存到计算机,我进行了一些更改。当我在MATLAB中读取数据时,似乎应该为0的值设置为2047,并且当我使用默认的内部相机参数重建3D点时,整体看起来似乎不正确。
我想要实现的是保存图像以便我可以使用 img = single(imread(depth.png'))/ 1000 并且具有以米为单位的深度值,没有测量的像素应为零。
顺便说一句是Kinect V1。
以下是我试图更改的评论代码。
#include "libfreenect.hpp"
#include <iostream>
#include <vector>
#include <cmath>
#include <pthread.h>
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>
using namespace cv;
using namespace std;
class myMutex {
public:
myMutex() {
pthread_mutex_init( &m_mutex, NULL );
}
void lock() {
pthread_mutex_lock( &m_mutex );
}
void unlock() {
pthread_mutex_unlock( &m_mutex );
}
private:
pthread_mutex_t m_mutex;
};
// Should one use FREENECT_DEPTH_REGISTERED instead of FREENECT_DEPTH_11BIT?
class MyFreenectDevice : public Freenect::FreenectDevice {
public:
MyFreenectDevice(freenect_context *_ctx, int _index)
: Freenect::FreenectDevice(_ctx, _index), m_buffer_depth(FREENECT_DEPTH_11BIT),
m_buffer_rgb(FREENECT_VIDEO_RGB), m_gamma(2048), m_new_rgb_frame(false),
m_new_depth_frame(false), depthMat(Size(640,480),CV_16UC1),
rgbMat(Size(640,480), CV_8UC3, Scalar(0)),
ownMat(Size(640,480),CV_8UC3,Scalar(0)) {
for( unsigned int i = 0 ; i < 2048 ; i++) {
float v = i/2048.0;
v = std::pow(v, 3)* 6;
m_gamma[i] = v*6*256;
}
}
// Do not call directly even in child
void VideoCallback(void* _rgb, uint32_t timestamp) {
std::cout << "RGB callback" << std::endl;
m_rgb_mutex.lock();
uint8_t* rgb = static_cast<uint8_t*>(_rgb);
rgbMat.data = rgb;
m_new_rgb_frame = true;
m_rgb_mutex.unlock();
};
// Do not call directly even in child
void DepthCallback(void* _depth, uint32_t timestamp) {
std::cout << "Depth callback" << std::endl;
m_depth_mutex.lock();
uint16_t* depth = static_cast<uint16_t*>(_depth);
// Here I use memcpy instead so I can use uint16
// memcpy(depthMat.data,depth,depthMat.rows*depthMat.cols*sizeof(uint16_t));
depthMat.data = (uchar*) depth;
m_new_depth_frame = true;
m_depth_mutex.unlock();
}
bool getVideo(Mat& output) {
m_rgb_mutex.lock();
if(m_new_rgb_frame) {
cv::cvtColor(rgbMat, output, CV_RGB2BGR);
m_new_rgb_frame = false;
m_rgb_mutex.unlock();
return true;
} else {
m_rgb_mutex.unlock();
return false;
}
}
bool getDepth(Mat& output) {
m_depth_mutex.lock();
if(m_new_depth_frame) {
depthMat.copyTo(output);
m_new_depth_frame = false;
m_depth_mutex.unlock();
return true;
} else {
m_depth_mutex.unlock();
return false;
}
}
private:
// Should it be uint16_t instead or even higher?
std::vector<uint8_t> m_buffer_depth;
std::vector<uint8_t> m_buffer_rgb;
std::vector<uint16_t> m_gamma;
Mat depthMat;
Mat rgbMat;
Mat ownMat;
myMutex m_rgb_mutex;
myMutex m_depth_mutex;
bool m_new_rgb_frame;
bool m_new_depth_frame;
};
int main(int argc, char **argv) {
bool die(false);
string filename("snapshot");
string suffix(".png");
int i_snap(0),iter(0);
Mat depthMat(Size(640,480),CV_16UC1);
Mat depthf (Size(640,480),CV_8UC1);
Mat rgbMat(Size(640,480),CV_8UC3,Scalar(0));
Mat ownMat(Size(640,480),CV_8UC3,Scalar(0));
// The next two lines must be changed as Freenect::Freenect
// isn't a template but the method createDevice:
// Freenect::Freenect<MyFreenectDevice> freenect;
// MyFreenectDevice& device = freenect.createDevice(0);
// by these two lines:
Freenect::Freenect freenect;
MyFreenectDevice& device = freenect.createDevice<MyFreenectDevice>(0);
namedWindow("rgb",CV_WINDOW_AUTOSIZE);
namedWindow("depth",CV_WINDOW_AUTOSIZE);
device.startVideo();
device.startDepth();
while (!die) {
device.getVideo(rgbMat);
device.getDepth(depthMat);
// Here I save the depth images
std::ostringstream file;
file << filename << i_snap << suffix;
cv::imwrite(file.str(),depthMat);
cv::imshow("rgb", rgbMat);
depthMat.convertTo(depthf, CV_8UC1, 255.0/2048.0);
cv::imshow("depth",depthf);
if(iter >= 1000) break;
iter++;
}
device.stopVideo();
device.stopDepth();
return 0;
}
提前致谢!
埃里克
答案 0 :(得分:1)
我对OpenKinect没有任何经验;但你的深度缓冲区应该是uint16吗?
std::vector<uint8_t> m_buffer_depth;
也;对于Matlab,请检查您正在阅读的图像是uint16还是uint8。如果是后者,则将其转换为uint16
uint16(imread('depth.png'));
抱歉无济于事。希望这会有所帮助。
答案 1 :(得分:0)
您拥有的值是原始深度值。您需要将这些重新映射到MM才能使数字有意义。 Kinect 1可以看到长达10米。所以我会使用raw_values / 2407 * 10000。
如果值在2047饱和,则可能使用FREENECT_DEPTH_11BIT_PACKED深度格式。
对于Matlab的工作,使用FREENECT_DEPTH_MM或FREENECT_DEPTH_REGISTERED总是更容易。
享受。