Package org.opencv.stereo
Class StereoBM
- java.lang.Object
-
- org.opencv.core.Algorithm
-
- org.opencv.stereo.StereoMatcher
-
- org.opencv.stereo.StereoBM
-
public class StereoBM extends StereoMatcher
Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige.
-
-
Field Summary
Fields Modifier and Type Field Description static int
PREFILTER_NORMALIZED_RESPONSE
static int
PREFILTER_XSOBEL
-
Fields inherited from class org.opencv.stereo.StereoMatcher
DISP_SCALE, DISP_SHIFT
-
-
Constructor Summary
Constructors Modifier Constructor Description protected
StereoBM(long addr)
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static StereoBM
__fromPtr__(long addr)
static StereoBM
create()
Creates StereoBM object disparity from 0 (default minimum disparity) to numDisparities.static StereoBM
create(int numDisparities)
Creates StereoBM objectstatic StereoBM
create(int numDisparities, int blockSize)
Creates StereoBM objectprotected void
finalize()
int
getPreFilterCap()
int
getPreFilterSize()
int
getPreFilterType()
Rect
getROI1()
Rect
getROI2()
int
getSmallerBlockSize()
int
getTextureThreshold()
int
getUniquenessRatio()
void
setPreFilterCap(int preFilterCap)
void
setPreFilterSize(int preFilterSize)
void
setPreFilterType(int preFilterType)
void
setROI1(Rect roi1)
void
setROI2(Rect roi2)
void
setSmallerBlockSize(int blockSize)
void
setTextureThreshold(int textureThreshold)
void
setUniquenessRatio(int uniquenessRatio)
-
Methods inherited from class org.opencv.stereo.StereoMatcher
compute, getBlockSize, getDisp12MaxDiff, getMinDisparity, getNumDisparities, getSpeckleRange, getSpeckleWindowSize, setBlockSize, setDisp12MaxDiff, setMinDisparity, setNumDisparities, setSpeckleRange, setSpeckleWindowSize
-
Methods inherited from class org.opencv.core.Algorithm
clear, empty, getDefaultName, getNativeObjAddr, save
-
-
-
-
Field Detail
-
PREFILTER_NORMALIZED_RESPONSE
public static final int PREFILTER_NORMALIZED_RESPONSE
- See Also:
- Constant Field Values
-
PREFILTER_XSOBEL
public static final int PREFILTER_XSOBEL
- See Also:
- Constant Field Values
-
-
Method Detail
-
__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 java.lang.Throwable
- Overrides:
finalize
in classStereoMatcher
- Throws:
java.lang.Throwable
-
-