cvFindStereoCorrespondenceBM() приватный Метод

private cvFindStereoCorrespondenceBM ( IntPtr left, IntPtr right, IntPtr disparity, IntPtr state ) : void
left IntPtr
right IntPtr
disparity IntPtr
state IntPtr
Результат void
Пример #1
0
 /// <summary>
 /// Computes disparity map for the input rectified stereo pair.
 /// </summary>
 /// <param name="left">The left single-channel, 8-bit image</param>
 /// <param name="right">The right image of the same size and the same type</param>
 /// <param name="disparity">The output single-channel 16-bit signed disparity map of the same size as input images. Its elements will be the computed disparities, multiplied by 16 and rounded to integer's</param>
 /// <remarks>Invalid pixels (for which disparity can not be computed) are set to state-&gt;minDisparity - 1 </remarks>
 public void FindStereoCorrespondence(Image <Gray, Byte> left, Image <Gray, Byte> right, Image <Gray, float> disparity)
 {
     CvInvoke.cvFindStereoCorrespondenceBM(left, right, disparity, _ptr);
 }
Пример #2
0
 /// <summary>
 /// Computes disparity map for the input rectified stereo pair.
 /// </summary>
 /// <param name="left">The left single-channel, 8-bit image</param>
 /// <param name="right">The right image of the same size and the same type</param>
 /// <param name="disparity">The output single-channel 16-bit signed disparity map of the same size as input images. Its elements will be the computed disparities, multiplied by 16 and rounded to integer's</param>
 /// <remarks>Invalid pixels (for which disparity can not be computed) are set to (state-&gt;minDisparity-1)*16</remarks>
 public void FindStereoCorrespondence(Image <Gray, Byte> left, Image <Gray, Byte> right, Image <Gray, Int16> disparity)
 {
     CvInvoke.cvFindStereoCorrespondenceBM(left, right, disparity, ref State);
 }