org.bytedeco.opencv.opencv_cudastereo.StereoConstantSpaceBP Maven / Gradle / Ivy
// Targeted by JavaCPP version 1.5.10: DO NOT EDIT THIS FILE
package org.bytedeco.opencv.opencv_cudastereo;
import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;
import static org.bytedeco.javacpp.presets.javacpp.*;
import static org.bytedeco.openblas.global.openblas_nolapack.*;
import static org.bytedeco.openblas.global.openblas.*;
import org.bytedeco.opencv.opencv_core.*;
import static org.bytedeco.opencv.global.opencv_core.*;
import org.bytedeco.opencv.opencv_imgproc.*;
import static org.bytedeco.opencv.global.opencv_imgproc.*;
import static org.bytedeco.opencv.global.opencv_imgcodecs.*;
import org.bytedeco.opencv.opencv_videoio.*;
import static org.bytedeco.opencv.global.opencv_videoio.*;
import org.bytedeco.opencv.opencv_highgui.*;
import static org.bytedeco.opencv.global.opencv_highgui.*;
import org.bytedeco.opencv.opencv_flann.*;
import static org.bytedeco.opencv.global.opencv_flann.*;
import org.bytedeco.opencv.opencv_features2d.*;
import static org.bytedeco.opencv.global.opencv_features2d.*;
import org.bytedeco.opencv.opencv_calib3d.*;
import static org.bytedeco.opencv.global.opencv_calib3d.*;
import static org.bytedeco.opencv.global.opencv_cudastereo.*;
/////////////////////////////////////////
// StereoConstantSpaceBP
/** \brief Class computing stereo correspondence using the constant space belief propagation algorithm. :
The class implements algorithm described in \cite Yang2010 . StereoConstantSpaceBP supports both local
minimum and global minimum data cost initialization algorithms. For more details, see the paper
mentioned above. By default, a local algorithm is used. To enable a global algorithm, set
use_local_init_data_cost to false .
StereoConstantSpaceBP uses a truncated linear model for the data cost and discontinuity terms:
{@code \[DataCost = data \_ weight \cdot \min ( \lvert I_2-I_1 \rvert , max \_ data \_ term)\]}
{@code \[DiscTerm = \min (disc \_ single \_ jump \cdot \lvert f_1-f_2 \rvert , max \_ disc \_ term)\]}
For more details, see \cite Yang2010 .
By default, StereoConstantSpaceBP uses floating-point arithmetics and the CV_32FC1 type for
messages. But it can also use fixed-point arithmetics and the CV_16SC1 message type for better
performance. To avoid an overflow in this case, the parameters must satisfy the following
requirement:
{@code \[10 \cdot 2^{levels-1} \cdot max \_ data \_ term < SHRT \_ MAX\]}
*/
@Namespace("cv::cuda") @Properties(inherit = org.bytedeco.opencv.presets.opencv_cudastereo.class)
public class StereoConstantSpaceBP extends StereoBeliefPropagation {
static { Loader.load(); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public StereoConstantSpaceBP(Pointer p) { super(p); }
/** Downcast constructor. */
public StereoConstantSpaceBP(Algorithm pointer) { super((Pointer)null); allocate(pointer); }
@Namespace private native @Name("static_cast") void allocate(Algorithm pointer);
/** number of active disparity on the first level */
public native int getNrPlane();
public native void setNrPlane(int nr_plane);
public native @Cast("bool") boolean getUseLocalInitDataCost();
public native void setUseLocalInitDataCost(@Cast("bool") boolean use_local_init_data_cost);
/** \brief Uses a heuristic method to compute parameters (ndisp, iters, levelsand nrplane) for the specified
image size (widthand height).
*/
public static native void estimateRecommendedParams(int width, int height, @ByRef IntPointer ndisp, @ByRef IntPointer iters, @ByRef IntPointer levels, @ByRef IntPointer nr_plane);
public static native void estimateRecommendedParams(int width, int height, @ByRef IntBuffer ndisp, @ByRef IntBuffer iters, @ByRef IntBuffer levels, @ByRef IntBuffer nr_plane);
public static native void estimateRecommendedParams(int width, int height, @ByRef int[] ndisp, @ByRef int[] iters, @ByRef int[] levels, @ByRef int[] nr_plane);
}