|
public static Farneback ( Byte>.Image |
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| prev0 | Byte>.Image | The first 8-bit single-channel input image |
| next0 | Byte>.Image | The second input image of the same size and the same type as prevImg |
| flowX | Single>.Image | The computed flow image for x-velocity; will have the same size as prevImg |
| flowY | Single>.Image | The computed flow image for y-velocity; will have the same size as prevImg |
| pyrScale | double | Specifies the image scale (!1) to build the pyramids for each image. pyrScale=0.5 means the classical pyramid, where each next layer is twice smaller than the previous |
| levels | int | The number of pyramid layers, including the initial image. levels=1 means that no extra layers are created and only the original images are used |
| winSize | int | The averaging window size; The larger values increase the algorithm robustness to image noise and give more chances for fast motion detection, but yield more blurred motion field |
| iterations | int | The number of iterations the algorithm does at each pyramid level |
| polyN | int | Size of the pixel neighborhood used to find polynomial expansion in each pixel. The larger values mean that the image will be approximated with smoother surfaces, yielding more robust algorithm and more blurred motion field. Typically, poly n=5 or 7 |
| polySigma | double | Standard deviation of the Gaussian that is used to smooth derivatives that are used as a basis for the polynomial expansion. For poly n=5 you can set poly sigma=1.1, for poly n=7 a good value would be poly sigma=1.5 |
| flags | CvEnum | The operation flags |
| Результат | void | |
public static void Farneback(
Image<Gray, Byte> prev0,
Image<Gray, Byte> next0,
Image<Gray, Single> flowX,
Image<Gray, Single> flowY,
double pyrScale,
int levels,
int winSize,
int iterations,
int polyN,
double polySigma,
CvEnum.OPTICALFLOW_FARNEBACK_FLAG flags)
{
IntPtr flow0 = CvInvoke.cvCreateImage(prev0.Size, Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_32F, 2);
try
{
if ((int) (flags & Emgu.CV.CvEnum.OPTICALFLOW_FARNEBACK_FLAG.USE_INITIAL_FLOW) != 0)
{ //use initial flow
CvInvoke.cvMerge(flowX.Ptr, flowY.Ptr, IntPtr.Zero, IntPtr.Zero, flow0);
}
CvInvoke.cvCalcOpticalFlowFarneback(prev0, next0, flow0, pyrScale, levels, winSize, iterations, polyN, polySigma, flags);
CvInvoke.cvSplit(flow0, flowX.Ptr, flowY.Ptr, IntPtr.Zero, IntPtr.Zero);
}
finally
{
CvInvoke.cvReleaseImage(ref flow0);
}
}
