o
Source: this database is created and labeled by the Machine
Perception Lab of the University of San Diego,
California. Most of the images are collected from the web.
o
Purpose: this database is primarily used for eye detection and
blink detection.
o
Properties:
|
Properties |
Descriptions |
|
# of subjects |
N/A |
|
# of images/videos |
197 for open eye
and 230 for closed eye |
|
Static/Videos |
Static |
|
Single/Multiple
faces |
Single |
|
Gray/Color |
color |
|
Resolution |
N/A |
|
Face pose |
Various |
|
Facial expression |
Various |
|
Illumination |
Various |
|
Accessories |
Various |
|
3D data |
N/A |
|
Ground truth |
Coordinates of eyes Label of open/close |
o
Source: the FERET
database is sponsored by the Defense Advanced Research Products Agency (DARPA).
o
Purpose: the FERET
database is widely used as the standard face database to evaluate the face
recognition systems. It may also be used for face pose estimation and eye
detection.
o
Properties:
|
Properties |
Descriptions |
|
# of subjects |
1199 |
|
# of images/videos |
14051 |
|
Static/Videos |
Static |
|
Single/Multiple
faces |
Single |
|
Gray/Color |
eight-bit gray |
|
Resolution |
256*384 |
|
Face pose |
7 categories: Frontal,
quarter-left, quarter-right, half-left, half-right, full-left, full-right |
|
Facial expression |
Slight facial
expression changes |
|
Illumination |
Controlled
illumination |
|
3D data |
N/A |
|
Ground truth |
Positions of eyes,
nose, and mouth Identifications of
subjects |
o
Reference: refer to
the paper “P. J. Phillips, Hyeonjoon Moon, S. A. Rizvi, and P. J. Rauss, The FERET evaluation methodology for face recognition
algorithm, IEEE Trans. on PAMI, vol. 22, no. 10, pp. 1090-1104, October
2000” and the online document
“http://www.itl.nist.gov/iad/humanid/feret/feret_master.html”.
2. Face Recognition Grand Challenge (FRGC)
Database
o Source: the FRGC database is jointly sponsored by several government agencies interested in improving the capabilities of face recognition technology.
o
Purpose: the primary
goal of the FRGC database is to evaluate face recognition technology. It may
also be used for eye detection.
o
Properties:
|
Properties |
Descriptions |
|
# of subjects |
222 (large still
training set) 466 (validation
set) |
|
# of images/videos |
12,776 (large still
training set) 943 *8 (3D training
set) 4007 *8 (validation
set) |
|
Static/Videos |
Static |
|
Single/Multiple
faces |
Single |
|
Gray/Color |
Color |
|
Resolution |
1704*2272 or
1200*1600 |
|
Face pose |
Frontal view |
|
Facial expression |
Neutral and smiling |
|
Illumination |
Controlled and
uncontrolled illumination |
|
3D data |
Yes (range and
texture) |
|
Ground truth |
Positions of eyes,
nose, and mouth Identifications of
subjects |
o
Reference: Please refer
to the paper “P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. Bowyer, J. Chang,
K. Hoffman, J. Marques, J. Min, and W. Worek, Overview
of the face recognition grand challenge, Proc. of CVPR05, no. 1, pp.
947–954, June 2005” and the original document under the directory
“BEE_DIST\doc”.
o
Source: CAS-PEAL
database is obtained from
o
Purpose: CAS-PEAL database
is used to evaluate the face recognition systems. It may also be used for eye
detection, face pose estimation, and facial expression recognition.
o
Properties:
|
Properties |
Descriptions |
|
# of subjects |
1040 (595 males and
445 females) of Asians |
|
# of images/videos |
30,900 |
|
Static/Videos |
Static |
|
Single/Multiple
faces |
Single |
|
Gray/Color |
eight-bit gray |
|
Resolution |
360*480 |
|
Face pose |
21 pose angles vertical: up,
middle, and down horizontal: left to
right (67º, 45º, 22º, 0º, -22º, -45º, -67º) |
|
Facial expression |
6 facial
expressions: neutral, eye
closing, frown, smile, surprise, and
mouth open |
|
Illumination |
15 lighting
conditions |
|
Accessories |
3 kinds of glasses
and 3 kinds of caps |
|
3D data |
N/A |
|
Ground truth |
Positions of eyes Identifications of
subjects Face pose angles Facial expression
labels Illumination
positions |
o
Reference: Please
refer to the technical report JDL-TR-04-FR-001 “The CAS-PEAL Large-Scale Chinese
Face Database and Baseline Evaluations”.
o
Source: this
database is obtained from the Robotics Institute of Carnegie Mellon University.
It combines images collected at CMU and MIT.
o
Purpose: this database
is primarily used for face detection task. It may also be used for eye
detection and facial feature detection.
o
Properties:
|
Properties |
Descriptions |
|
# of subjects |
N/A |
|
# of images/videos |
169 frontal-view
face images 202 profile face images |
|
Static/Videos |
Static |
|
Single/Multiple
faces |
Multiple |
|
Gray/Color |
eight-bit gray |
|
Resolution |
N/A |
|
Face pose |
Frontal and profile |
|
Facial expression |
Various facial
expressions |
|
Illumination |
Various lighting
conditions |
|
Accessories |
Various |
|
3D data |
N/A |
|
Ground truth |
Positions of eyes,
nose tip, mouth corners, and mouth center for each face (frontal-view face); Positions of eye
corner, eye, nose, nose tip, mouth corner, mouth center, chin, earlobe, and ear
tip for each face (profile face) |
o Source: this database is constructed by
o
Purpose: this
database can be used for face recognition, face pose estimation, and eye
detection.
o
Properties:
|
Properties |
Descriptions |
|
# of subjects |
10 |
|
# of images/videos |
5760 |
|
Static/Videos |
Static |
|
Single/Multiple
faces |
Single |
|
Gray/Color |
Gray |
|
Resolution |
640*480 (eye
distance ~ 90pixels) |
|
Face pose |
9 poses |
|
Facial expression |
Neutral |
|
Illumination |
64 lighting
conditions and 1 ambient illumination |
|
Accessories |
N/A |
|
3D data |
N/A |
|
Ground truth |
Identifications of
subjects Face pose Illumination
positions Coordinates of eyes
and mouth (frontal view) Coordinates of face center (other views) |
o
Reference: Please refer
to the paper “A. S. Georghiades and P. N. Belhumeur, From Few to Many: Illumination Cone Models
for Face Recognition under Variable Lighting and Pose, IEEE Trans. on.
PAMI, vol.23, no.6, pp.643-660, June 2001”.
o
Source: this
database is constructed by HumanScan
company.
o
Purpose: this
database can be used for face detection, face recognition and eye detection.
o
Properties:
|
Properties |
Descriptions |
|
# of subjects |
23 |
|
# of images/videos |
1521 |
|
Static/Videos |
Static |
|
Single/Multiple
faces |
Single |
|
Gray/Color |
Gray |
|
Resolution |
382*288 (eye
distance ~ 50pixels) |
|
Face pose |
Frontal |
|
Facial expression |
Various |
|
Illumination |
Various lighting
conditions |
|
Accessories |
Various |
|
3D data |
N/A |
|
Ground truth |
Coordinates of
eyes. Coordinates of 20
feature points (Eyebrow corners, eye, mouth and tip of chin) |
·
Reference: Please
refer to the paper “O. Jesorsky, K. Kirchberg, R. Frischholz, Robust
Face Detection Using the Hausdorff Distance, Audio and Video based Person Authentication
- AVBPA 2001, pages 90-95. Springer, 2001.”.