The method does cvCheckPixelBackgroundNP (which reads bgmodel)
before it is ever updated (in cvUpdatePixelBackgroundNP). This
initialization is thus needed to avoid reads of unitialized values.

Addressed comments.

1e-12 -> DBL_EPSILON

OpenVX optical flow PyrLK wrappers added (#7774)

* wrappers for vx_pyramid added

* initial version of Optical Flow PyrLK wrappers added

* array downloading code simplified

* disabled due to bad accuracy; fixed bugs, e.g. vendor-specific ones

* rewritten for new macro use

Operations inside for loops are unnecessary. They are repeated anyway just below for loops

Fixes clang -Wextra-semi warnings.

The number of gaussians involved in a mixture is supposed
to be dynamically adjusted. After being increased, the number
of gaussians can't be reduced anymore.

It seems to be a regression as the legacy code
located in modules/legacy/src/bgfg_gaussmix.cpp allows to reduce
such number of gaussians.

The number of gaussians involved in a mixture is supposed
to be dynamically adjusted. After being increased, the number
of gaussians can't be reduced anymore.

It seems to be a regression as the legacy code
located in modules/legacy/src/bgfg_gaussmix.cpp allows to reduce
such number of gaussians.

Added a writeFormat() method to Algorithm which must be called by the
write() method of derived classes.

It could reduce 7 multiplications every iteration.
Signed-off-by: NYan Wang <yan.wang@linux.intel.com>

1. Remove uncessary index calculation.
2. Use mad/mad24 as possible.
Signed-off-by: NYan Wang <yan.wang@linux.intel.com>

made improvements in ECC code (comments from https://github.com/Itseez/opencv/pull/3845), as well as minor tweak in pthread's based parallel for.

Tests of the mask are also included.

This is useful for registering a non-square image against a non-square
template.

This also needs to relax a sanity check as per
https://github.com/Itseez/opencv/pull/3851

The matrix templateZM needs to be initialized because otherwise
uninitialized values leak into the correlation in:

    const double correlation = templateZM.dot(imageWarped)

In the worst case this will lead the correlation to be NaN ruining the
whole routine. The subtraction does not initialize templateZM due to the
mask.

Unfortunately, the uninitialized values (by altering the correlation)
have the side effect of dragging out the computation a little longer
giving a slightly better error bound. This means that fixing this bug
breaks perf_ecc where

    SANITY_CHECK(warpMat, 1e-3);

is just a little too tight and happens to work due to the uninitialized
values. Since this is a performance not a accuracy test I think it is OK
to just relax the error bound a little bit (the tight error bound being
after all the result of a bug).