Add xm2vts/3 (api change: beat.backend.python v1.4.2)

advanced/databases/xm2vts/3.rst

+.. Copyright (c) 2017 Idiap Research Institute, http://www.idiap.ch/          ..
+.. Contact: beat.support@idiap.ch                                             ..
+..                                                                            ..
+.. This file is part of the beat.examples module of the BEAT platform.        ..
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+..                                                                            ..
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+.. Public License version 3 as published by the Free Software and appearing   ..
+.. in the file LICENSE.AGPL included in the packaging of this file.           ..
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+.. or FITNESS FOR A PARTICULAR PURPOSE.                                       ..
+..                                                                            ..
+.. You should have received a copy of the GNU Affero Public License along     ..
+.. with the BEAT platform. If not, see http://www.gnu.org/licenses/.          ..
+
+
+The XM2VTS Database of Faces
+----------------------------
+
+Changelog
+=========
+
+* **Version 3**, 02/Nov/2017:
+
+  - Port to beat.backend.python v1.4.2
+
+* **Version 2**, 20/Jan/2016:
+
+  - Port to Bob v2
+
+* **Version 1**, 21/Oct/2014:
+
+  - Initial release
+
+
+Description
+===========
+
+The `XM2VTS database <http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/>`_ is a large
+multi-modal database that was captured onto high quality digital video. It
+contains four recordings of 295 subjects taken over a period of four months.
+Each recording contains a speaking head shot and a rotating head shot. Sets
+of data taken from this database are available including high quality colour
+images, 32 KHz 16-bit sound files, video sequences and a 3d Model.
+
+The database was aquired within the M2VTS project (Multi Modal Verification for
+Teleservices and Security applications), a part of the EU ACTS programme, which
+deals with access control by the use of multimodal identification of human faces.
+The goal of using a multimodal recognition scheme is to improve the recognition
+efficiency by combining single modalities, namely face and voice features.
+
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/000_1.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/001_1.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/002_1.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/003_1.jpg
+  :width: 150 px
+
+\
+
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/000_2.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/001_2.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/002_2.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/003_2.jpg
+  :width: 150 px
+
+\
+
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/000_3.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/001_3.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/002_3.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/003_3.jpg
+  :width: 150 px
+
+\
+
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/000_4.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/001_4.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/002_4.jpg
+  :width: 150 px
+.. image:: http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/images/003_4.jpg
+  :width: 150 px
+
+This deployment of the XM2VTS database only consists of the images.