boofcv.alg.flow

Class BroxWarpingSpacial<T extends ImageGray>

java.lang.Object

boofcv.alg.flow.DenseFlowPyramidBase<T>

boofcv.alg.flow.BroxWarpingSpacial<T>

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

Dense optical flow which adheres to a brightness constancy assumption, a gradient constancy assumption, and a discontinuity-preserving spatio-temporal smoothness constraint. Based on the work of Brox [2] with implementation details taken from [1].

1. Javier Sánchez Pérez, Nelson Monzón López, and Agustín Salgado de la Nuez, Robust Optical Flow Estimation, Image Processing On Line, 3 (2013), pp. 252–270. http://dx.doi.org/10.5201/ipol.2013.21
2. Thomas Brox, Andr´es Bruhn, Nils Papenberg, and Joachim Weickert. High accuracy optical flow estimation based on a theory for warping. In T. Pajdla and J. Matas, editors, European Conference on Computer Vision (ECCV), volume 3024 of Lecture Notes in Computer Science, pages 25–36, Prague, Czech Republic, May 2004. Springer.

Constructor Summary

Constructors

Constructor and Description
BroxWarpingSpacial(ConfigBroxWarping 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

BroxWarpingSpacial

public BroxWarpingSpacial(ConfigBroxWarping 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()