Package org.opencv.calib3d

Class StereoBM

  • public class StereoBM
extends StereoMatcher
    Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige.

    • Constructor Detail

      • StereoBM

        protected StereoBM​(long addr)

    • 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