I'm new about opencv(c++) and kinect. I try to take a video image with c++ from kinect. I search everywhere but I didn't find anything. Because people are made using openNI or OpenKinect. I don't want to use this lib. How can I do it??
Thanks!!!
Asked
Active
Viewed 2.9k times
9
-
Why don't you want to use those libraries ? – Étienne Dec 14 '12 at 10:17
-
Because I make for my company. They don't want those lib. =( – Mehmet Zaim Dec 14 '12 at 12:04
-
And which drivers do they want you to use for the camera ? – Étienne Dec 14 '12 at 13:30
-
I can only use "kinect for windows drivers" and I think that's enough for this project because my other projects worked. But other projects are made C#. – Mehmet Zaim Dec 14 '12 at 14:20
-
So are you using the kinect for windows SDK "kinect sdk natural user interface" ? I saw that they have a forum with discussions about how to grabe the frames with sdk and convert them to an opencv format to process them afterwards: http://social.msdn.microsoft.com/Search/en-US/?query=opencv&rq=meta:Search.MSForums.ForumID%2882100fe2-5d35-44fd-b00d-e8d6383af8f2%29+site:microsoft.com&rn=NUI+API+and+Programming%E2%80%94Kinect+for+Windows+SDK+Forum – Étienne Dec 14 '12 at 16:24
3 Answers
7
You could use the kinect for windows SDK to grab the frames, and then convert them to an opencv format. See this code example which does that in visual studio (found in this thread on the microsoft forums), unfortunately I don't have a kinect right now to test the code:
#include "stdafx.h"
#define COLOR_WIDTH 640
#define COLOR_HIGHT 480
#define DEPTH_WIDTH 320
#define DEPTH_HIGHT 240
#define SKELETON_WIDTH 640
#define SKELETON_HIGHT 480
#define CHANNEL 3
BYTE buf[DEPTH_WIDTH * DEPTH_HIGHT * CHANNEL];
int drawColor(HANDLE h, IplImage* color)
{
const NUI_IMAGE_FRAME * pImageFrame = NULL;
HRESULT hr = NuiImageStreamGetNextFrame(h, 0, &pImageFrame);
if (FAILED(hr))
{
cout << "Get Image Frame Failed" << endl;
return -1;
}
NuiImageBuffer * pTexture = pImageFrame->pFrameTexture;
KINECT_LOCKED_RECT LockedRect;
pTexture->LockRect(0, &LockedRect, NULL, 0);
if (LockedRect.Pitch != 0)
{
BYTE * pBuffer = (BYTE*) LockedRect.pBits;
cvSetData(color, pBuffer, LockedRect.Pitch);
}
cvShowImage("color image", color);
NuiImageStreamReleaseFrame(h, pImageFrame);
return 0;
}
int drawDepth(HANDLE h, IplImage* depth)
{
const NUI_IMAGE_FRAME * pImageFrame = NULL;
HRESULT hr = NuiImageStreamGetNextFrame(h, 0, &pImageFrame);
if (FAILED(hr))
{
cout << "Get Image Frame Failed" << endl;
return -1;
}
// temp1 = depth;
NuiImageBuffer * pTexture = pImageFrame->pFrameTexture;
KINECT_LOCKED_RECT LockedRect;
pTexture->LockRect(0, &LockedRect, NULL, 0);
if (LockedRect.Pitch != 0)
{
USHORT * pBuff = (USHORT*) LockedRect.pBits;
for (int i = 0; i < DEPTH_WIDTH * DEPTH_HIGHT; i++)
{
BYTE index = pBuff[i] & 0x07;
USHORT realDepth = (pBuff[i] & 0xFFF8) >> 3;
BYTE scale = 255 - (BYTE)(256 * realDepth / 0x0fff);
buf[CHANNEL * i] = buf[CHANNEL * i + 1] = buf[CHANNEL * i + 2] = 0;
switch (index)
{
case 0:
buf[CHANNEL * i] = scale / 2;
buf[CHANNEL * i + 1] = scale / 2;
buf[CHANNEL * i + 2] = scale / 2;
break;
case 1:
buf[CHANNEL * i] = scale;
break;
case 2:
buf[CHANNEL * i + 1] = scale;
break;
case 3:
buf[CHANNEL * i + 2] = scale;
break;
case 4:
buf[CHANNEL * i] = scale;
buf[CHANNEL * i + 1] = scale;
break;
case 5:
buf[CHANNEL * i] = scale;
buf[CHANNEL * i + 2] = scale;
break;
case 6:
buf[CHANNEL * i + 1] = scale;
buf[CHANNEL * i + 2] = scale;
break;
case 7:
buf[CHANNEL * i] = 255 - scale / 2;
buf[CHANNEL * i + 1] = 255 - scale / 2;
buf[CHANNEL * i + 2] = 255 - scale / 2;
break;
}
}
cvSetData(depth, buf, DEPTH_WIDTH * CHANNEL);
}
NuiImageStreamReleaseFrame(h, pImageFrame);
cvShowImage("depth image", depth);
return 0;
}
int drawSkeleton(IplImage* skeleton)
{
NUI_SKELETON_FRAME SkeletonFrame;
CvPoint pt[20];
HRESULT hr = NuiSkeletonGetNextFrame(0, &SkeletonFrame);
bool bFoundSkeleton = false;
for (int i = 0; i < NUI_SKELETON_COUNT; i++)
{
if (SkeletonFrame.SkeletonData[i].eTrackingState
== NUI_SKELETON_TRACKED)
{
bFoundSkeleton = true;
}
}
// Has skeletons!
//
if (bFoundSkeleton)
{
NuiTransformSmooth(&SkeletonFrame, NULL);
memset(skeleton->imageData, 0, skeleton->imageSize);
for (int i = 0; i < NUI_SKELETON_COUNT; i++)
{
if (SkeletonFrame.SkeletonData[i].eTrackingState
== NUI_SKELETON_TRACKED)
{
for (int j = 0; j < NUI_SKELETON_POSITION_COUNT; j++)
{
float fx, fy;
NuiTransformSkeletonToDepthImageF(
SkeletonFrame.SkeletonData[i].SkeletonPositions[j],
&fx, &fy);
pt[j].x = (int) (fx * SKELETON_WIDTH + 0.5f);
pt[j].y = (int) (fy * SKELETON_HIGHT + 0.5f);
cvCircle(skeleton, pt[j], 5, CV_RGB(255, 0, 0), -1);
}
cvLine(skeleton, pt[NUI_SKELETON_POSITION_HEAD],
pt[NUI_SKELETON_POSITION_SHOULDER_CENTER],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_SHOULDER_CENTER],
pt[NUI_SKELETON_POSITION_SPINE], CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_SPINE],
pt[NUI_SKELETON_POSITION_HIP_CENTER],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_HAND_RIGHT],
pt[NUI_SKELETON_POSITION_WRIST_RIGHT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_WRIST_RIGHT],
pt[NUI_SKELETON_POSITION_ELBOW_RIGHT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_ELBOW_RIGHT],
pt[NUI_SKELETON_POSITION_SHOULDER_RIGHT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_SHOULDER_RIGHT],
pt[NUI_SKELETON_POSITION_SHOULDER_CENTER],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_SHOULDER_CENTER],
pt[NUI_SKELETON_POSITION_SHOULDER_LEFT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_SHOULDER_LEFT],
pt[NUI_SKELETON_POSITION_ELBOW_LEFT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_ELBOW_LEFT],
pt[NUI_SKELETON_POSITION_WRIST_LEFT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_WRIST_LEFT],
pt[NUI_SKELETON_POSITION_HAND_LEFT], CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_HIP_CENTER],
pt[NUI_SKELETON_POSITION_HIP_RIGHT], CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_HIP_RIGHT],
pt[NUI_SKELETON_POSITION_KNEE_RIGHT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_KNEE_RIGHT],
pt[NUI_SKELETON_POSITION_ANKLE_RIGHT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_ANKLE_RIGHT],
pt[NUI_SKELETON_POSITION_FOOT_RIGHT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_HIP_CENTER],
pt[NUI_SKELETON_POSITION_HIP_LEFT], CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_HIP_LEFT],
pt[NUI_SKELETON_POSITION_KNEE_LEFT], CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_KNEE_LEFT],
pt[NUI_SKELETON_POSITION_ANKLE_LEFT],
CV_RGB(0, 255, 0));
cvLine(skeleton, pt[NUI_SKELETON_POSITION_ANKLE_LEFT],
pt[NUI_SKELETON_POSITION_FOOT_LEFT], CV_RGB(0, 255, 0));
}
}
}
cvShowImage("skeleton image", skeleton);
return 0;
}
int main(int argc, char * argv[])
{
IplImage* color = cvCreateImageHeader(cvSize(COLOR_WIDTH, COLOR_HIGHT), IPL_DEPTH_8U, 4);
IplImage* depth = cvCreateImageHeader(cvSize(DEPTH_WIDTH, DEPTH_HIGHT),IPL_DEPTH_8U, CHANNEL);
IplImage* skeleton = cvCreateImage(cvSize(SKELETON_WIDTH, SKELETON_HIGHT),IPL_DEPTH_8U, CHANNEL);
cvNamedWindow("color image", CV_WINDOW_AUTOSIZE);
cvNamedWindow("depth image", CV_WINDOW_AUTOSIZE);
cvNamedWindow("skeleton image", CV_WINDOW_AUTOSIZE);
HRESULT hr = NuiInitialize(
NUI_INITIALIZE_FLAG_USES_DEPTH_AND_PLAYER_INDEX
| NUI_INITIALIZE_FLAG_USES_COLOR
| NUI_INITIALIZE_FLAG_USES_SKELETON);
if (hr != S_OK)
{
cout << "NuiInitialize failed" << endl;
return hr;
}
HANDLE h1 = CreateEvent(NULL, TRUE, FALSE, NULL);
HANDLE h2 = NULL;
hr = NuiImageStreamOpen(NUI_IMAGE_TYPE_COLOR, NUI_IMAGE_RESOLUTION_640x480,
0, 2, h1, &h2);
if (FAILED(hr))
{
cout << "Could not open image stream video" << endl;
return hr;
}
HANDLE h3 = CreateEvent(NULL, TRUE, FALSE, NULL);
HANDLE h4 = NULL;
hr = NuiImageStreamOpen(NUI_IMAGE_TYPE_DEPTH_AND_PLAYER_INDEX,
NUI_IMAGE_RESOLUTION_320x240, 0, 2, h3, &h4);
if (FAILED(hr))
{
cout << "Could not open depth stream video" << endl;
return hr;
}
HANDLE h5 = CreateEvent(NULL, TRUE, FALSE, NULL);
hr = NuiSkeletonTrackingEnable(h5, 0);
if (FAILED(hr))
{
cout << "Could not open skeleton stream video" << endl;
return hr;
}
while (1)
{
WaitForSingleObject(h1, INFINITE);
drawColor(h2, color);
WaitForSingleObject(h3, INFINITE);
drawDepth(h4, depth);
WaitForSingleObject(h5, INFINITE);
drawSkeleton(skeleton);
//exit
int c = cvWaitKey(1);
if (c == 27 || c == 'q' || c == 'Q')
break;
}
cvReleaseImageHeader(&depth);
cvReleaseImageHeader(&color);
cvReleaseImage(&skeleton);
cvDestroyWindow("depth image");
cvDestroyWindow("color image");
cvDestroyWindow("skeleton image");
NuiShutdown();
return 0;
}
Étienne
- 4,773
- 2
- 33
- 58
-
What should I install to use this, besides opencv and kinect kit? – Vlad Iordache Apr 24 '19 at 19:30
3
OpenCV does not offer the ability to connect to and process data from the Kinect sensor; unless you treat the Kinect as a regular webcam. You will want to fetch the data using one of the APIs and send it to OpenCV. To get the data from the Kinect you can use:
If your employer has a problem with one of the APIs, that is there choice. But the use of OpenCV does not eliminate your need to use one of them.
A quick search on MSDN reveals multiple threads on the the subject. The most straight forward approach I've read about is using cvSetData to import the data, after converting the image:
RGB
IplImage * ovImage = NULL;
ovImage = cvCreateImage(cvSize(640, 480), 8, 4);
cvSetData(ovImage, pBuffer, ovImage->widthStep);
Depth
ovImage = cvCreateImage(cvSize(640, 480), 8, 1);
I also found the freenomad_vision project on GitHub that provides libfreenect support with OpenCV and OpenGL. If you dislike using libfreenect, the code can easily serve as reference since the incoming data is all the same and (likely) would be converted the same.
Nicholas Pappas
- 10,439
- 12
- 54
- 87
1
In case if someone is redirected here looking for a simpler method for visualizing the Kinect depth stream, I was able to do this in the following way for the KinectV2.
Mat CDepthMap::getFrame()
{
IDepthFrame* frame;
Mat depthImage;
hr = _depth_reader->AcquireLatestFrame(&frame);
if (SUCCEEDED(hr)) {
const UINT imgSize = sDepthWidth*sDepthHeight; //512*424
UINT16 pixelData[imgSize];
hr = frame->CopyFrameDataToArray(imgSize, pixelData);
if (SUCCEEDED(hr)) {
depthImage = Mat(sDepthHeight,sDepthWidth, CV_8U);
for (UINT i = 0; i < imgSize; i++) {
UINT16 depth = pixelData[i];
depthImage.at<UINT8>(i) = LOWORD(depth);
}
}
SafeRelease(frame);
}
return depthImage;
}
Shubham Batra
- 1,278
- 1
- 14
- 27