We provide segmentation labels for the AR Face Database.

All publications using these manual annotations must cite the paper:
Occlusion-aware 3D Morphable Face Models
Bernhard Egger, Andreas Schneider, Clemens Blumer, Andreas Morel-Forster, Sandro Schönborn, Thomas Vetter
IN: British Machine Vision Conference (BMVC), September 2016

The AR Face Database can be found here:
A.M. Martinez and R. Benavente. The AR Face Database. CVC Technical Report #24, June 1998.
http://www2.ece.ohio-state.edu/~aleix/ARdatabase.html 

The segmentations are given for a subset of the AR Face Database that contains the first 10 male and female participants appearing in both sessions. In contrast to other evaluations, we include images under illuminations from the front and the side. We selected the neutral (containing glasses and beards) images (*-1, *-5) from the first session and images with scarves (*-24, *-25) and sunglasses (*-21, *-22) from the second session. The total set consists of 120 images. For our experiments we excluded 4 images (w-009-25, w-002-22, w-012-24, w-012-25) because the fiducial point detection failed for them. For evaluation we labeled an elliptical face region and occlusions, both manually. The segmentation error was measured in the elliptical face region only.

The following segmentation labels are provided in the "labels" folder:
 - hair: green
 - glasses: red
 - scarf: blue
 - teeth: white
 - earring: yellow
 - unlabelled: black

The following segmentation labels are provided in the "faceEllipse" folder:
 - face region: white (ellipse)
 - non-face region/background: black transparent

All labels including the ellipse are drawn by hand from different experts (each image only once, no averaging).

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These materials are provides "as is" without warranty of any kind.

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Basel, July 2016

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Bernhard Egger
bernhard.egger@unibas.ch

University of Basel
Department of Mathematics and Computer Science
Spiegelgasse 1
4051 Basel

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