1. VOCORD FaceControl 3D
Next generation of biometric identification system based on 3D
has no reliable algorithms for «liveness» detection and
Overview protection against spoofing and identity hiding attacks.
Facial recognition is one of existing biometrics techniques Our top-grade facial-biometrics system VOCORD FaceControl
(iris, fingerprints, the geometry of human hand etc.) based 3D, which utilize advanced and proprietary 3D-algorithms and
on unique and measurable characteristics of human’s custom-designed video cameras, gives significant advantages
face. Finger prints have better positive-match ratio than over current 2D-systems due to high robustness to:
facial identification method. But almost every person is
«photographable», while 5% of the populations due to various • Pose angles
reasons are able to leave readable fingerprints. Moreover, • Make-up, “war paint”
there are a lot of different facial databases containing photos
• Artifacts - eyeglasses, scarf, moustache, beard, cigarette
of several billion of individuals in contrast with fingerprints etc.
databases number only several hundred million records.
• Variations of lighting conditions (day or night time, sunny
Facial recognition is a very convenient technology to use. or cloudy weather, deep shadows or backlight)
Unlike iris or finger scans, it does not require physical
• Facial expressions (smiling, frowning, yawning, chewing)
contact with the persons and does not disturb traffic flow.
More important, for one-to-many environments like crowded
Moreover, VOCORD FaceControl 3D does not require special
facilities, facial identification is the only feasible biometric
structured illumination and the system cannot be upset by a
system. After series of terrorist attacks the people have come
frontal photo of some stranger.
to accept the protective role of video cameras.
Traditional facial-biometrics system are based on Applications
2D-technologies, which has two serious drawbacks: (1)
the effectiveness of 2D-recognition is not perfect because As other security oriented systems VOCORD FaceControl 3D
it is very sensitive to various factors: pose angles, lighting could be used in policing and civil areas, including access
conditions, artifacts, facial expressions, and (2) 2D system control and other applications:
VOCORD FaceControl 3D – is a face recognition system developed on innovative technology: the system
does not just capture facial images, but makes facial pictures under different angles, then reconstructs
facial 3D-model which is used for person recognition. The 3D-approach eliminates a list of issues specific
for traditional biometric identification systems – poor robustness to variations in position and angle of
the face in relation to the camera, lighting conditions and heavy make-up. VOCORD FaceControl 3D
ensures high recognition accuracy anywhere: on the streets, in airports, at railroad or subway terminals
or at stadiums!
Member of:
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2. Preventive identification. Facial recognition can be used Whenever a person passes through the control zone
for precedents for preventive purposes interactively to detect the system does series of synchronous photos under
people wanted by police in video footage from video cameras different angles. Based on these photos, a 3D-facial
deployed in controlled passages – enters/exits of buildings, model is reconstructed, reflecting both shape and
offices, cinemas, stadiums, traffic terminals or restricted texture of the original.
security areas in general. The following steps describe the automatic facial
recognition process in more details.
Identification and administration of reference
databases. Using facial recognition system police forces Step 1: Portrait acquisition
could search particular subjects of interest or suspects in Whenever a person passes through the control zone the
facial databases and watch lists. system captures the face images in each video channel,
Verification (authorization)/border control. In some creating 4 synchronous photos of the person under different
cases facial recognition is used to check that subject’s photo angles.
in identity document (passport, driver’s license, IDs) being Step 2: 3D-facial model reconstruction and 2D-facial
presented matches with individual’s face. This verification texture construction
can be made by filming the holders when they present their
These 4 facial images are processed. Using 2 snapshots
documents.
made by two cameras the system reconstructs 3D-cloud
Criminal investigations. In some criminal investigations of matching points for each pair of cameras. After that
police officers need to search huge volumes of video data two 3D-clouds are combined into single 3D-facial image
(surveillance video, video from ATMs etc.) for frames in (3D-surface) and synthetic frontal facial picture. If original
which faces are clearly visible. This labor-consuming and has some artifacts (glasses, beard, mustaches etc.) they
painstaking portrait extraction task could be easily automated are eliminated from 3D-surface.
by means of face recognition system. Extracted facial images Step 3: Face recognition based on 3D-facial model
of good quality could be used for further fraudulent or criminal
3D-surface could be characterized by set of parameters
identification.
(3D-template). Templates of the same structure are stored
Access control. The function of access control systems is in reference database together with 2D-photos. To recognize
to check that person attempting to access a secure zone is the person the system makes matching of 3D-template
entitled to do so. Facial recognition system could easily read against reference database and scores each compared
individual’s face and match it against images in reference image. The higher the score, the higher the similarity with
database or/and photo in ID document, smart card or RFID- the image of wanted face.
badge. Step 4: Face recognition based on 2D-texture model
How it works To perform 2D-face recognition the systems forms a
synthetic facial image – facial texture is projected on
Two pairs of synchronized VOCORD NetCam4 cameras 3D-surface and then the face is rotated to frontal view of
are mounted in the monitored area. Cameras are the face. This synthesized 2D-picture, or «face texture»
grouped in two vertical pairs, which makes it possible to the system uses for 2D-face recognition against reference
place them on both sides of checkpoint system. database.
Step 5: Fusion of results of 3D & 2D face recognition
The results of recognition received independently by 3D
and 2D methods are processed by neural network, which
calculates probability that two images (2D and 3D) belong
to the same individual.
When making final decision the system uses information
both on a shape of a surface and its texture.
Thus if the texture is distorted, for example by a heavy
VOCORD NetCam4
stereo cameras make-up, the 3D-facial model gives the main contribution
to recognition process. Such approach allows to receive
result the best, than comparison of a surface and texture
comparison made separately.
There is an optional mode – «2.5D-facial recognition». In
this way the system creates standard 3D-facial image, then
Turnstile makes corrective turn of the 3D-model to the frontal pose
and synthesizes frontal 2D-image after all. Now the system
Metal detector is ready to match synthesized 2D-image with real 2D-portrait
in the database. In many cases this 3D-2D matching works
more effectively than simple 2D-2D comparison.

3. • Control of max/min exposure time
Features
• 14-to-8-bit image conversion with automatic
• Enrollment (various image sources can be used as input
• Adjustment for varying lighting conditions and dynamic
for the enrollment process, including still photos, photos
range stabilization
from documents (IDs, passports, driver licenses) and
video stream, external facial databases • Automatic control over DC drive aperture
• Automatic capturing and tracking of the faces in the field • Black balance
of view
Specialized software and servers
• Automatic face recognition based on real time matching
VOCORD FaceControl incorporates five software
against watch list
modules:
• Two modes of operation: Identification and Verification
• FC Catcher – captures 4 synchronous facial images
• Time attendance from stereo-cameras and transfers them to module FC
Grinder for further processing and FC Archive for images
• Event Viewer
storing.
• Automatic operator alerting upon successful face
• FC Grinder - defining biometric parameters of captured
recognition
face images and calculating the biometric templates.
• Viewing video data in a real time Further these patterns will be used for matching against
• Searching the data archive for entries with given the watch list
parameters • FC Matcher - this module compares biometric patterns
• Network video broadcasting with images in watch list database and solves whether
two images coincided and what is recognition accuracy
Architecture • FC Client - Client applications VOCORD FaceControlClient
are installed on the operator (End-User) workstations.
VOCORD NetCam4 stereo cameras (stereo modules) The operator can view real time video streams as well
as saved facial snapshots. The system alerts operator
These VOCORD NetCam4 cameras support video upon successful face recognition
broadcasting (total throughputs up 2 Gbit/s): one video
stream (RAW) transfers to the system, while the second – • FC Archive - long-term video data and templates,
compressed video (MJPEG) for live video monitoring. archiving, storing system logs and other accompanying
VOCORD NetCam4 cameras have inbuilt video adaptation data
algorithms for face recognition purposes: When deploying large-scale distributed face recognition
• Automatic exposure adjustment with precise manual systems, multi-tier architecture is preferred. The multi-tier
Pair of
RAW
Face
capturing
FC Client FC Catcher calculation
FC Grinder
1 2
3 4
FC Archive
FC Matcher
FC Client

4. architecture is optimal for flexible system scaling
and minimizes data network loading.
When deploying small-scale systems (1 check
point with 4 cameras) all modules could be
installed on the same server.
Benefits
• Increased security level at facilities and
sites
• Faster violation response time and violator
apprehension
• Reduced number of violations
• Minimized unauthorized access risk
• Increased efficiency of security staff
Specifications
Architecture Multi-tiered, standalone
Operation mode 3D, 2D
Communication interface TCP/IP
Video cameras Proprietary VOCORD NetCam4
Resolution 1408 х 1056 pixels
Frame rate 10 frames per sec.
Frame rate At 1.5-2.0m is 1.6-2.0m vertical х 0.6-0,8m horizontal
Type of identification Facial recognition
User’s interface English, Russian
Methods of enrollment Still photos, photos from IDs, video streams, facial databases, watch lists, ets.
Identification mode 1:1, 1:N
Number of faces in the frame which could be recognized 1
Maximum speed portrait acquisition < 1 sec
3D-facial image reconstruction 0.5 – 0.7 sec.
Face rotation (horizontal) +50°/-30°
Face rotation (vertical) +30°/-30°
Recognition accuracy (at point where FAR = FRR) 99,88%
Face Template Size 200 KB per face
Alarm management Via End-user application, SMS, e-mail
Access control systems, alternative biometric systems (finger prints, iris), video
Integration with (using C++ API)
surveillance systems (VOCORD Tahion and Traffic)
Contact VOCORD experts for more information!
General issues: info@vocord.com Phone/fax: +7 (495) 787 2626
Partnerships: partnership@vocord.com 100, Novaya st., Skolkovo village, Odintsovsky district,
Product availability: sales@vocord.com Moscow region, Russia, 143025
Press office: pr@vocord.com www.vocord.com