* correct the part about fixed aspect
    * improve formatting
    * add snippet markers to source
    * replace inline code by @snippet
  - do not run calibration twice when using a imageList
  - make output consistent in itself (CamelCase vs no_camel_case) as well as with old camera calibrate sample
  - respect write extrinsic/ points flags
  - set the aspectRatio value when specified
  - fix writing of calibration settings. also update grammar.
  - fix intendation and remove some size_t -> int casts by using size_t

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).

Small error - object fs does not exist in this code example

temporarily use EPNP in SolvePnP instead of UPNP or DLS algorithms, since the latter two are not quite stable

Trying to fix whitespace issue.
This reverts commit dcc2512f.

added a check to prevent illegal access to operator[] when vector is empty

Removed check on limits.  A common use of HoughLines would be to restrict theta to be between a small negative number and a small positive number, e.g. -pi/16 to pi/16.  This wasn't possible with the previous checks.

made the solvepnp a bit more modest; test 5-point configuration instead of 4-point in some cases; reduce the noise in 4-point configurations in other cases