Commit 7b893ab8 authored by Philip ABBET's avatar Philip ABBET

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

parent eb16d51a
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.. 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. ..
.. ..
.. Commercial License Usage ..
.. Licensees holding valid commercial BEAT licenses may use this file in ..
.. accordance with the terms contained in a written agreement between you ..
.. and Idiap. For further information contact tto@idiap.ch ..
.. ..
.. Alternatively, this file may be used under the terms of the GNU Affero ..
.. Public License version 3 as published by the Free Software and appearing ..
.. in the file LICENSE.AGPL included in the packaging of this file. ..
.. The BEAT platform is distributed in the hope that it will be useful, but ..
.. WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY ..
.. 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.
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