PUBLIC

LMSRegionMatchC::LMSRegionMatchC(const PairC> &,BooleanT) LMSRegionMatchC::Estimate(const NumImageC &,IntT) LMSRegionMatchC::SetNoiseLevel(RealT) LMSRegionMatchC::MotionCov(void) const LMSRegionMatchC::ErrorVar(void) const LMSRegionMatchC::Eigenvalues(void) const

LMSRegionMatchC
Computes a 2D motion vector from 2 images over a region using a least-mean-square fit
include	"amma/Motion/LMSRegionMatch.hh"
User Level:	Default
Library:	LMSMotion
Example:	exLMSRegion.cc
Section:	Image.Motion.Estimation.Model-based
In Scope:	std

Comments:
This method computes the solution to the motion constraint equation over an image patch (as described here). The covariance matrix for the motion vector and the variance of the fit are also available. The default noise parameter value = 1.0.

PairC> image;

NumImageC grad_grad;

NumImageC grad_t;

NumImageC dt_sq;

Matrix2d2C cov;

covariance of motion vector estimation

RealT var;

variance of motion estimation errors

Vector2dC lambda;

eigenvalues of gradient outer product

IntT region;

size of region

RealT noise;

to help bad matrices invert nicely

BooleanT verbose;

LMSRegionMatchC(const PairC<NumImageC<RealT>> & im,BooleanT verbose = false)

Constructor from filtered image pair

Vector2dC Estimate(const NumImageC<IntT> & mask,IntT label)

Estimates motion for region with mask value "label"

void SetNoiseLevel(RealT Noise)

Sets noise level for matrix inversion

Matrix2d2C MotionCov() const

Returns matrix of motion estimate covariance

RealT ErrorVar() const

Returns motion constraint equation error variance

Vector2dC Eigenvalues() const

Returns eigenvalues of spatial gradient outer product