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beat
beat.examples
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997645b6
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997645b6
authored
Oct 30, 2017
by
Philip ABBET
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Add cbsr_nir_vis_2/3 (api change: beat.backend.python v1.4.2)
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advanced/databases/cbsr_nir_vis_2/3.json
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advanced/databases/cbsr_nir_vis_2/3.py
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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/. ..
CASIA NIR-VIS 2.0 Face Database
-------------------------------
Changelog
=========
* **Version 3**, 30/Oct/2017:
- Port to beat.backend.python v1.4.2
* **Version 2**, 20/Jan/2016:
- Port to Bob v2 (should not affect results)
* **Version 1**, 06/Nov/2014:
- Initial release
Description
===========
`CASIA NIR-VIS 2.0
<http://www.cbsr.ia.ac.cn/english/NIR-VIS-2.0-Database.html>`_ database offers
pairs of mugshot images (VIS) and their correspondent Near Infrared (NIR)
photos. Capured by CASIA (Chinese Academy of Sciences), the images of this
database were collected in four recording sessions: 2007 spring, 2009 summer,
2009 fall and 2010 summer, in which the first session is identical to the `HFB
database <http://www.cbsr.ia.ac.cn/english/HFB%20Databases.asp>`_. The CASIA
NIR-VIS 2.0 database consists of 725 subjects in total. There are 1-22 VIS and
5-50 NIR face images per subject.
A preview image of the Database of Faces is shown below:
.. image:: http://www.cbsr.ia.ac.cn/english/NIR-VIS-2.0/NIR-VIS-2.0-Sample.jpg
:width: 400 px
The VIS images are in JPG format and the NIR images are in BMP format. The size of each image is 640x480 pixels (RGB).
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