Class StereoBM

Method Details

• __fromPtr__

  public static StereoBM __fromPtr__(long addr)

• getPreFilterType

  public int getPreFilterType()

• setPreFilterType

  public void setPreFilterType(int preFilterType)

• getPreFilterSize

  public int getPreFilterSize()

• setPreFilterSize

  public void setPreFilterSize(int preFilterSize)

• getPreFilterCap

  public int getPreFilterCap()

• setPreFilterCap

  public void setPreFilterCap(int preFilterCap)

• getTextureThreshold

  public int getTextureThreshold()

• setTextureThreshold

  public void setTextureThreshold(int textureThreshold)

• getUniquenessRatio

  public int getUniquenessRatio()

• setUniquenessRatio

  public void setUniquenessRatio(int uniquenessRatio)

• getSmallerBlockSize

  public int getSmallerBlockSize()

• setSmallerBlockSize

  public void setSmallerBlockSize(int blockSize)

• getROI1

  public Rect getROI1()

• setROI1

  public void setROI1(Rect roi1)

• getROI2

  public Rect getROI2()

• setROI2

  public void setROI2(Rect roi2)

• create

  public static StereoBM create(int numDisparities, int blockSize)

  Creates StereoBM object

  Parameters:

  numDisparities - the disparity search range. For each pixel algorithm will find the best disparity from 0 (default minimum disparity) to numDisparities. The search range can then be shifted by changing the minimum disparity.

  blockSize - the linear size of the blocks compared by the algorithm. The size should be odd (as the block is centered at the current pixel). Larger block size implies smoother, though less accurate disparity map. Smaller block size gives more detailed disparity map, but there is higher chance for algorithm to find a wrong correspondence. The function create StereoBM object. You can then call StereoBM::compute() to compute disparity for a specific stereo pair.

  Returns:

  automatically generated

• create

  public static StereoBM create(int numDisparities)

  Creates StereoBM object

  Parameters:

  numDisparities - the disparity search range. For each pixel algorithm will find the best disparity from 0 (default minimum disparity) to numDisparities. The search range can then be shifted by changing the minimum disparity. (as the block is centered at the current pixel). Larger block size implies smoother, though less accurate disparity map. Smaller block size gives more detailed disparity map, but there is higher chance for algorithm to find a wrong correspondence. The function create StereoBM object. You can then call StereoBM::compute() to compute disparity for a specific stereo pair.

  Returns:

  automatically generated

• create

  public static StereoBM create()

  Creates StereoBM object disparity from 0 (default minimum disparity) to numDisparities. The search range can then be shifted by changing the minimum disparity. (as the block is centered at the current pixel). Larger block size implies smoother, though less accurate disparity map. Smaller block size gives more detailed disparity map, but there is higher chance for algorithm to find a wrong correspondence. The function create StereoBM object. You can then call StereoBM::compute() to compute disparity for a specific stereo pair.

  Returns:

  automatically generated

• finalize

  protected void finalize() throws Throwable

  Overrides:

  finalize in class StereoMatcher

  Throws:

  Throwable