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Texas 3D Face Recognition Database (Texas 3DFRD)
NOW AVAILABLE!!
Research on 3D human face recognition at LIVE is being conducted in collaboration
with former Advanced Digital Imaging Research, LLC, Friendswood, TX.
Shalini Gupta, Mia K. Markey, Kenneth R. Castleman, and Alan C. Bovik
The Texas 3D Face Recognition database (Texas 3DFRD) of 1149 2D and 3D facial images is now available to qualified
researchers at no cost. If you use this database in your
research, please reference our
following articles and this database:
1S. Gupta, M. K. Markey,
A. C. Bovik, "Anthropometric 3D Face Recognition", International Journal of Computer Vision, 2010, Volume 90, 3:331-349.
2S. Gupta, K. R. Castleman, M. K. Markey, A. C. Bovik, "Texas 3D
Face Recognition Database", IEEE Southwest Symposium on Image Analysis
and Interpretation, May 2010, p 97-100, Austin, TX.
3S. Gupta, K. R. Castleman, M. K. Markey, A.
C. Bovik, "Texas 3D Face Recognition Database", URL: http://live.ece.utexas.edu/research/texas3dfr/index.htm.
The database,
along with ancillary data may be download freely here, and may be used
without restriction for educational and research purposes, providing
that our paper and this website are cited in any published work. The
Texas 3D Face Recognition Database is intended for research and
purposes only and may not be used for any commercial purposes. It is
expected that access will be granted only to Project Managers and
Principal Investigators of senior responsibility.
In order to download the database, please fill out this form. Access instructions will be sent over e-mail.
A pre-print of our paper describing this database is present along with
the data. If you wish to obtain only the pre-print and do not need
access to the dataset, please contact Dr. Shalini Gupta by sending her
an email: shalini.gupta@ieee.org.
Description
A detailed description of the various aspects of the
Texas 3DFRD database including its contents, the data acquisition
process, preprocessing steps, and data partitions (training, gallery,
and probe) that were employed previously to develop the Anthropometric 3D Face Recognition algorithm1 at LIVE are provided in the following published article:
2Gupta,
S.; Castleman, K. R.; Markey, M. K.; Bovik, A. C., "Texas 3D Face
Recognition Database," IEEE Southwest Symposium on Image Analysis &
Interpretation, p. 97-100, 23-25 May 2010, Austin, TX.
Briefly, the Texas 3D Face Recognition (Texas 3DFR)
database is a collection of 1149 pairs of facial color and range images
of 105 adult human subjects. These images were acquired using a stereo
imaging system manufactured by 3Q Technologies (Atlanta, GA) at a very
high spatial resolution of 0.32 mm along the x, y, and z dimensions.
During each acquisition, the color and range images were captured
simultaneously and thus the two are perfectly registered to each other
(Figure 1).

Figure 1: Example images from the Texas 3DFRD
This large database of two 2D and 3D facial models was
acquired at the company Advanced Digital Imaging Research (ADIR), LLC
(Friendswood, TX), formerly a subsidiary of Iris International, Inc.
(Chatsworth, CA), with assistance from research students and faculty
from the Laboratory for Image and Video Engineering (LIVE) at The
University of Texas at Austin. This project was sponsored by the
Advanced Technology Program of the National Institute of Standards and
Technology (NIST).
For each face, is also available information about the subjects’ gender, ethnicity, facial expression, and the locations of a large number of (25) anthropometric facial fiducial points (Figure 2).
These fiducial points were located manually on the facial color images
using a computer based graphical user interface. Specific data
partitions (traning, gallery, and probe) that were employed previously
to develop the Anthropometric 3D Face Recognition algorithm1 at LIVE are also available.

Figure 2: The 25 anthropometric facial fiducial points available for each face in the Texas 3DFRD
The role
of the Texas 3D Face Recognition Database is complementary to other
existing 3D facial databases. These include the Face Recognition Grand
Challenge database (http://www.frvt.org/FRGC/),
the Bosphorus database (http://bosphorus.ee.boun.edu.tr/)
and the Binghampton 3D Facial Expression database (http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html). To aid researchers in focusing primarily on the development of face recognition algorithms,
the facial data in Texas 3DFRD has been (a) pre-processed to remove
extraneous non-facial data, and has been (b) normalized to a frontal
pose and a standardized position (Figure 1 and Figure 2). The 3D facial
data has been acquired using a fast stereo imaging system with
perfectly registered 3D and 2D images, which unlike range imaging
systems, can be practically deployed in airport screening applications.
Texas
3DFRD was created to develop and test 3D face recognition algorithms
intended to operate in environments with co-operative subjects,
wherein, the faces are imaged in a relatively fixed position and
distance from the camera. For algorithms intended for face recognition
in less constrained settings, e.g., different distances, widely varying
poses, poorly registered 3D and 2D data, etc., the Texas 3DFRD may be
less representative as some of the other databases. However, the Texas
3DFRD is an ideal choice for comparing strictly the recognition performance
of different face recognition algorithms, eliminating differences in
preprocessing for registration, scaling, pose rectification.
Numerous other features that of Texas 3DFRD that are complementary to
the existing databases are detailed in the published article2.
This
web page is maintained by Dr. Shalini
Gupta. Please email any further questions about the Texas 3D Face Recognition Database directly to her at shalini.gupta@ieee.org.
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Copyright Notice
-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
Copyright (c) 2010 The University of Texas at Austin
All rights reserved.
Permission is hereby granted, without written agreement and without
license or royalty fees, to use, copy, modify, and distribute this
database (the images, the results and the source files) and its
documentation for any purpose, provided that the copyright notice in
its entirety appear in all copies of this database, and the original
source of this database, Laboratory for Image and Video Engineering
(LIVE, http://live.ece.utexas.edu) and Advanced Digital Imaging
Research, LLC, Friendswood, TX, is acknowledged in any publication that
reports research using this database.
The following papers are to be cited in the bibliography whenever the database is used as:
*S. Gupta, M. K. Markey,
A. C. Bovik, "Anthropometric 3D Face Recognition", International Journal of Computer Vision, 2010, Volume 90, 3:331-349.
*S.
Gupta, K. R. Castleman, M. K. Markey, A. C. Bovik, "Texas 3D Face
Recognition Database", IEEE Southwest Symposium on Image Analysis and
Interpretation, May 2010, p 97-100, Austin, TX.
*S. Gupta, K. R. Castleman, M. K. Markey, A.
C. Bovik, "Texas 3D Face Recognition Database", URL: http://live.ece.utexas.edu/research/texas3dfr/index.htm.
IN NO EVENT SHALL THE UNIVERSITY OF TEXAS AT AUSTIN BE LIABLE TO ANY
PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL
DAMAGES ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION,
EVEN IF THE UNIVERSITY OF TEXAS AT AUSTIN HAS BEEN ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
THE UNIVERSITY OF TEXAS AT AUSTIN SPECIFICALLY DISCLAIMS ANY
WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE DATABASE
PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF TEXAS
AT AUSTIN HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES,
ENHANCEMENTS, OR MODIFICATIONS.
-----------COPYRIGHT NOTICE ENDS WITH THIS LINE------------
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