In RCSCUT it's possible to vectorize a skin contour from a picture loaded or from a photo directly shooted in the nesting table

But the old method was not entirely satisfactory and could be significantly improved

That's why a new one has been developped




New dialog

The dialog has been updated to allow better visibility of the different steps and parameters

The dialog is divided in 3 tabs

Pictures tab

This is the tab where you can see the reformed picture, either loaded from the disk or shoot from the nesting table

In this last case, you can set the retroprojection color light or the APN compensation during the shoot

Results tab

While the picture/photo is loaded, the skin contour is computed and displayed in this tab

It's displayed both on the dialog and on the nesting table with the retroprojection

It exists 3 methods to compute the skin contour

  • Polarization: a new method based on a detection algorithm by color difference
  • Threshold: a new method based on detection algorithm by threshold
  • Legacy: the old algorithm used on the old dialog

Each method has its own parameters

The option Display picture allows to show the original picture with the skin contour detection

Enhance the detection: Reframe the useful zone

Sometimes the result could not be as good as expected by the user even adjusting the different parameters

Indeed there can be many reasons that the skin contour detection is not good

For example the luminosity, the closed colors between the skin and the background or also some artefacts in the picture

In these cases, it's possible to reframe the useful zone taken into account for the skin contour detection

Note: Only for the polarization and threshold methods

In this example, we use the polarization method but the skin contour is not found

Click on Reframe

From the application screen or from the retroprojection screen you can adjust the useful zone (cyan) by moving the four corners and frame the skin

Open the contextual menu with right click to

  • validate
  • set the default frame
  • cancel the current modification

Now the result is good

The useful zone is represented by a cyan frame

Enhance the detection: Backgrounds tab

An other way to enhance the skin contour detection is to use a picture/photo of the background without the skin

The algorithm does a picture difference to find more easily the skin contour

An example with this skin

With the method Threshold, the skin contour is not computed

But with a background picture, the result is better