Added a 'special' test for benchmarking

It prints out the mean and standard deviation for tag detection
on ~100 runs.
Remove marker unwrapping

Instead, project sampling points directly in the
original image.

Execution time divided by ~3
Updated 'Refine' to be run at the image level

Instead of the Quad level. This allow to run Refine before decoding
markers. This is especially useful with the new version of
ReadBits that project samples points into the image: precise
localization of the markers enhance the decoding accuracy.
Prevent exception when refining distored quads corners
Added more images to integration test
Make sure the 'objects' samples compiles with opencv3
Added a sample app that outputs on stdout the list of markers in an image
Eliminate the tag 682 from recognition

Tag 682 is a fully black marker. It can be quite easily falsely detected in dark zones.
Updated the expected test results