Flow Estimation Solvers |
Solver Modules used for optical flow estimation. |
|
CGSolver |
Unconstrained gradient based optimization using nonlinear conjugate gradients. |
Newton2 |
Second order Newton method. |
PetscSolver |
PETSc implementation of a solver. |
Solver |
Abstract base class for solvers. |
Flow Estimation Testing |
Modules intendet to test the performance of optical flow estimation algorithms. |
This includes generators of test sequences and modules to compare the results with given ground truth. |
EdgySequenceGenerator |
Generate test sequences with motion edges. |
FlowComparator |
Compare results of some flow calculation with the underlaying ground truth. |
SequenceGenerator |
Generate simple test sequences with ground truth. |
Image Manipulation |
Image Manipulation Modules. |
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Diff2D |
Calculate 2D derivatives. |
LucasKanadeSmoothing |
Calculate locally smoothed derivatives. |
PyramidLowpass |
Lowpass filtering for pyramid-based flow-estimation algorithms. |
PyramidRescale |
Rescaling for pyramid-based flow-estimation algorithms. |
PyramidRescaleMask |
Pyramid rescaling of binary masks for multi-scale motion estimation. |
PyramidRescaleMatlab |
MATLAB-like Rescaling for pyramid-based flow-estimation algorithms. |
SimpleDiff |
Calculate 2D derivatives. |
Iteration Modules |
Iteration and their helper modules. |
|
CGSolverHelper |
Helper for connecting a CGSolver. |
IteratorHelper |
Helper for iterative image processing algorithms. |
RelaxingIterator |
Iterator based on SimpleIterator class but with additional relaxing feature. |
SimpleIterator |
Iterate parts of the processing pipeline. |
Learning Modules |
Collection of modules for learning of flow statistics. |
Used in the paper implementation of "Learning Optical Flow" by Sun et al. |
CDFitFunction |
Abstract function to be fitted to a probability density. |
CdFitter |
Function fitter using contrastive divergence algorithm. |
DataConstant |
Brightness constancy data term. |
McmcSampler |
Markov chain monte carlo sampler. |
MixtureOfGaussians |
Mixture of gaussians. |
SampleGenerator |
apply given sampler to generate test images |
Sampler |
Abstract sampling class. |
Stencil Helpers |
Helper Modules for Stencils like Brightness or Motion Models. |
|
BrightnessModel |
abstract base class for the different BrightnessModels |
BrightnessModels::Constant |
a brightness model for no brightness change |
BrightnessModels::Diffusion |
includes diffusion in brightness model |
MixtureOfGaussians |
Mixture of gaussians. |
MotionModel |
abstract base class for the different motion models |
MotionModels::LocalConstant |
motion model with local constant flow |
MotionModels::LucasKanade |
motion model with local constant flow |
PsiFunction |
function implementing psi energy term |
Stencils |
Collection of Stencil classes. |
|
AffineBCC |
EnergyStencil for overparameterized affine 6D Brightness Constancy Constraint. |
DataConstant |
Brightness constancy data term. |
EnergyBCC |
EnergyStencil for Brightness Constancy Constraint. |
EnergyClassic |
EnergyStencil for so called classic regularization. |
EnergyCoupling |
EnergyStencil for coupling two flow fields. |
Gbcce |
General Brightness Change Constraint Equation. |
L2Norm |
Laplacian stencil used for regularization in global methods. |
MagnitudeRegularization |
Stencil for regularization of the magnitude r. |
MatchConstraint |
Stencil for matching against parameter guess at masked positions. |
Rfmc |
Range Flow Motion Constraint equation. |
SpatialPW |
This is the SpatialPW stencil. |
Stencil::Mask |
Base class for convolution mask Stencils. |
TrigonometricBCC |
Stencil for trigonometric Brightness Constancy Constraint. |