我试图让 Kinect 深度相机像素叠加到 RGB 相机上。我正在使用带有 Xbox Kinect、OpenCV 的 C++ Kinect 1.0 SDK 并尝试使用新的“NuiImageGetColorPixelCoordinateFrameFromDepthPixelFrameAtResolution”方法。
我已经看到图像以慢动作呈现,看起来好像在一帧中多次绘制像素。它首先从顶部和左侧边界绘制自己,然后到达一个点(你可以在那里看到一个 45 度角)开始绘制怪异。
我一直在尝试将我的代码基于 Adam Smith 在MSDN 论坛上编写的 C# 代码, 但没有骰子。我已经去掉了覆盖的东西,只想在它“应该”在 RGB 图像中的位置绘制深度归一化深度像素。
左侧的图像是我尝试将深度图像拟合到 RGB 空间时得到的图像,右侧的图像是我喜欢看到的“原始”深度图像。我希望我的方法能创建一个与右侧图像相似的图像,但有轻微的扭曲。
这是我目前拥有的代码和对象定义:
// From initialization
INuiSensor *m_pNuiInstance;
NUI_IMAGE_RESOLUTION m_nuiResolution = NUI_IMAGE_RESOLUTION_640x480;
HANDLE m_pDepthStreamHandle;
IplImage *m_pIplDepthFrame;
IplImage *m_pIplFittedDepthFrame;
m_pIplDepthFrame = cvCreateImage(cvSize(640, 480), 8, 1);
m_pIplFittedDepthFrame = cvCreateImage(cvSize(640, 480), 8, 1);
// Method
IplImage *Kinect::GetRGBFittedDepthFrame() {
static long *pMappedBits = NULL;
if (!pMappedBits) {
pMappedBits = new long[640*480*2];
}
NUI_IMAGE_FRAME pNuiFrame;
NUI_LOCKED_RECT lockedRect;
HRESULT hr = m_pNuiInstance->NuiImageStreamGetNextFrame(m_pDepthStreamHandle, 0, &pNuiFrame);
if (FAILED(hr)) {
// return the older frame
return m_pIplFittedDepthFrame;
}
bool hasPlayerData = HasSkeletalEngine(m_pNuiInstance);
INuiFrameTexture *pTexture = pNuiFrame.pFrameTexture;
pTexture->LockRect(0, &lockedRect, NULL, 0);
if (lockedRect.Pitch != 0) {
cvZero(m_pIplFittedDepthFrame);
hr = m_pNuiInstance->NuiImageGetColorPixelCoordinateFrameFromDepthPixelFrameAtResolution(
m_nuiResolution,
NUI_IMAGE_RESOLUTION_640x480,
640 * 480, /* size is previous */ (unsigned short*) lockedRect.pBits,
(640 * 480) * 2, /* size is previous */ pMappedBits);
if (FAILED(hr)) {
return m_pIplFittedDepthFrame;
}
for (int i = 0; i < lockedRect.size; i++) {
unsigned char* pBuf = (unsigned char*) lockedRect.pBits + i;
unsigned short* pBufS = (unsigned short*) pBuf;
unsigned short depth = hasPlayerData ? ((*pBufS) & 0xfff8) >> 3 : ((*pBufS) & 0xffff);
unsigned char intensity = depth > 0 ? 255 - (unsigned char) (256 * depth / 0x0fff) : 0;
long
x = pMappedBits[i], // tried with *(pMappedBits + (i * 2)),
y = pMappedBits[i + 1]; // tried with *(pMappedBits + (i * 2) + 1);
if (x >= 0 && x < m_pIplFittedDepthFrame->width && y >= 0 && y < m_pIplFittedDepthFrame->height) {
m_pIplFittedDepthFrame->imageData[x + y * m_pIplFittedDepthFrame->widthStep] = intensity;
}
}
}
pTexture->UnlockRect(0);
m_pNuiInstance->NuiImageStreamReleaseFrame(m_pDepthStreamHandle, &pNuiFrame);
return(m_pIplFittedDepthFrame);
}
谢谢