boofcv.alg.flow

Class HornSchunckPyramid<T extends ImageGray>

java.lang.Object

boofcv.alg.flow.DenseFlowPyramidBase<T>

boofcv.alg.flow.HornSchunckPyramid<T>

public class HornSchunckPyramid<T extends ImageGray>
extends DenseFlowPyramidBase<T>

Pyramidal implementation of Horn-Schunck [2] based on the discussion in [1]. The problem formulation has been modified from the original found in [2] to account for larger displacements. The Euler-Lagrange equations are solved using Successive Over-Relaxation (SOR).

1. Meinhardt-Llopis, Enric and Sánchez Pérez, Javier and Kondermann, Daniel, "Horn-Schunck Optical Flow with a Multi-Scale Strategy" vol 3, 2013, Image Processing On Line
2. Horn, Berthold K., and Brian G. Schunck. "Determining optical flow." 1981 Technical Symposium East. International Society for Optics and Photonics, 1981.

Constructor Summary

Constructors

Constructor and Description
HornSchunckPyramid(ConfigHornSchunckPyramid config, InterpolatePixelS<GrayF32> interp) Configures flow estimation

Method Summary

Modifier and Type	Method and Description
GrayF32	getFlowX()
GrayF32	getFlowY()
void	process(ImagePyramid<GrayF32> image1, ImagePyramid<GrayF32> image2) Computes dense optical flow from the provided image pyramid.

Methods inherited from class boofcv.alg.flow.DenseFlowPyramidBase

process

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

HornSchunckPyramid

public HornSchunckPyramid(ConfigHornSchunckPyramid config,
                          InterpolatePixelS<GrayF32> interp)

Configures flow estimation

Parameters:

config - Configuration parameters

interp - Interpolation for image flow between image layers and warping. Overrides selection in config.

Method Detail

process

public void process(ImagePyramid<GrayF32> image1,
                    ImagePyramid<GrayF32> image2)

Computes dense optical flow from the provided image pyramid. Image gradient for each layer should be computed directly from the layer images.

Specified by:

process in class DenseFlowPyramidBase<T extends ImageGray>

Parameters:

image1 - Pyramid of first image

image2 - Pyramid of second image

getFlowX

public GrayF32 getFlowX()

getFlowY

public GrayF32 getFlowY()