| private CvStereoSGBMCreate ( int minDisparity, int numDisparities, int SADWindowSize, int P1, int P2, int disp12MaxDiff, int preFilterCap, int uniquenessRatio, int speckleWindowSize, int speckleRange, [ fullDP ) : IntPtr | ||
| minDisparity | int | |
| numDisparities | int | |
| SADWindowSize | int | |
| P1 | int | |
| P2 | int | |
| disp12MaxDiff | int | |
| preFilterCap | int | |
| uniquenessRatio | int | |
| speckleWindowSize | int | |
| speckleRange | int | |
| fullDP | [ | |
| Результат | IntPtr | |
/// <summary>
/// Create a stereo disparity solver using StereoSGBM algorithm (combination of H. Hirschmuller + K. Konolige approaches)
/// </summary>
/// <param name="minDisparity"></param>
/// <param name="numDisparities"></param>
/// <param name="SADWindowSize">Set this to 0 for default</param>
/// <param name="P1">Use 0 for default</param>
/// <param name="P2">Use 0 for default</param>
/// <param name="disp12MaxDiff">Use 0 for default</param>
/// <param name="preFilterCap">Use 0 for default</param>
/// <param name="uniquenessRatio">Use 0 for default</param>
/// <param name="speckleWindowSize">Use 0 for default</param>
/// <param name="speckleRange">Use 0 for default</param>
/// <param name="fullDP">Use false for default</param>
public StereoSGBM(int minDisparity, int numDisparities, int SADWindowSize,
int P1, int P2, int disp12MaxDiff,
int preFilterCap, int uniquenessRatio,
int speckleWindowSize, int speckleRange,
bool fullDP)
{
_ptr = CvInvoke.CvStereoSGBMCreate(minDisparity, numDisparities, SADWindowSize, P1, P2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange, fullDP);
}
/// <summary>
/// Create a stereo disparity solver using StereoSGBM algorithm (combination of H. Hirschmuller + K. Konolige approaches)
/// </summary>
/// <param name="minDisparity">Minimum possible disparity value. Normally, it is zero but sometimes rectification algorithms can shift images, so this parameter needs to be adjusted accordingly.</param>
/// <param name="numDisparities">Maximum disparity minus minimum disparity. The value is always greater than zero. In the current implementation, this parameter must be divisible by 16.</param>
/// <param name="blockSize">Matched block size. It must be an odd number >=1 . Normally, it should be somewhere in the 3..11 range. Use 0 for default. </param>
/// <param name="p1">The first parameter controlling the disparity smoothness. It is the penalty on the disparity change by plus or minus 1 between neighbor pixels. Reasonably good value is 8*number_of_image_channels*SADWindowSize*SADWindowSize. Use 0 for default</param>
/// <param name="p2">The second parameter controlling the disparity smoothness. It is the penalty on the disparity change by more than 1 between neighbor pixels. The algorithm requires <paramref name="p2"/> > <paramref name="p1"/>. Reasonably good value is 32*number_of_image_channels*SADWindowSize*SADWindowSize. Use 0 for default</param>
/// <param name="disp12MaxDiff">Use 0 for default</param>
/// <param name="preFilterCap">Use 0 for default</param>
/// <param name="uniquenessRatio">Use 0 for default</param>
/// <param name="speckleWindowSize">Use 0 for default</param>
/// <param name="speckleRange">Use 0 for default</param>
/// <param name="mode">Use SGBM for default</param>
public StereoSGBM(int minDisparity, int numDisparities, int blockSize,
int p1, int p2, int disp12MaxDiff,
int preFilterCap, int uniquenessRatio,
int speckleWindowSize, int speckleRange,
Mode mode)
{
_ptr = CvInvoke.CvStereoSGBMCreate(minDisparity, numDisparities, blockSize, p1, p2, disp12MaxDiff, preFilterCap, uniquenessRatio, speckleWindowSize, speckleRange, (int)mode);
}
