optFlowCorr

PURPOSE ^

Calculate optical flow using cross-correlation.

SYNOPSIS ^

function [Vx,Vy,reliab] = optFlowCorr( I1, I2, patchR, searchR,sigma, thr, show )

DESCRIPTION ^

 Calculate optical flow using cross-correlation.

 Calculate optical flow using correlation, followed by lucas & kanade on
 aligned squares for subpixel accuracy.  Locally, the closest patch within
 some search radius is found.  The distance measure used is the euclidean
 distance between patches -- NOT normalized correlation since we assume
 pixel brightness constancy.  Once the closest matching patch is found,
 the alignment between the two patches is further refined using lucas &
 kanade to find the subpixel translation vector relating the two patches.

 This code has been refined for speed, but since it is nonvectorized code
 it can be fairly slow.  Running time is linear in the number of pixels
 but the constant is fairly large.  Test on small image (150x150) before
 running on anything bigger.

 USAGE
  [Vx,Vy,reliab] = optFlowCorr( I1, I2, patchR, searchR,
                                 [sigma], [thr], [show] )

 INPUTS
  I1, I2      - input images to calculate flow between
  patchR      - determines correlation patch size around each pixel
  searchR     - search radius for corresponding patch
  sigma       - [1] amount to smooth by (may be 0)
  thr         - [.001] RELATIVE reliability threshold
  show        - [0] figure to use for display (no display if == 0)

 OUTPUTS
  Vx, Vy      - x,y components of flow  [Vx>0->right, Vy>0->down]
  reliab  - reliability of optical flow in given window (cornerness of
            window)

 EXAMPLE

 See also OPTFLOWHORN, OPTFLOWLK

 Piotr's Image&Video Toolbox      Version 2.0
 Copyright 2008 Piotr Dollar.  [pdollar-at-caltech.edu]
 Please email me if you find bugs, or have suggestions or questions!
 Licensed under the Lesser GPL [see external/lgpl.txt]

CROSS-REFERENCE INFORMATION ^

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