Vocord face control 3d facial-biometric system based on 3d


Published on

  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Vocord face control 3d facial-biometric system based on 3d

  1. 1. VOCORD FaceControl 3DNext generation of biometric identification system based on 3D has no reliable algorithms for «liveness» detection andOverview 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 andon unique and measurable characteristics of human’s custom-designed video cameras, gives significant advantagesface. 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 anglesreasons 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, cigaretteof several billion of individuals in contrast with fingerprints etc.databases number only several hundred million records. • Variations of lighting conditions (day or night time, sunnyFacial 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 specialfacilities, facial identification is the only feasible biometric structured illumination and the system cannot be upset by asystem. 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 Applications2D-technologies, which has two serious drawbacks: (1)the effectiveness of 2D-recognition is not perfect because As other security oriented systems VOCORD FaceControl 3Dit is very sensitive to various factors: pose angles, lighting could be used in policing and civil areas, including accessconditions, artifacts, facial expressions, and (2) 2D system control and other applications:VOCORD FaceControl 3D – is a face recognition system developed on innovative technology: the systemdoes not just capture facial images, but makes facial pictures under different angles, then reconstructsfacial 3D-model which is used for person recognition. The 3D-approach eliminates a list of issues specificfor traditional biometric identification systems – poor robustness to variations in position and angle ofthe face in relation to the camera, lighting conditions and heavy make-up. VOCORD FaceControl 3Densures high recognition accuracy anywhere: on the streets, in airports, at railroad or subway terminalsor at stadiums! Member of: +7 (495) 787-26-26 VIDEO SURVEILLANCE AND AUDIO RECORDING SYSTEMS www.vocord.com
  2. 2. Preventive identification. Facial recognition can be used Whenever a person passes through the control zonefor precedents for preventive purposes interactively to detect the system does series of synchronous photos underpeople wanted by police in video footage from video cameras different angles. Based on these photos, a 3D-facialdeployed in controlled passages – enters/exits of buildings, model is reconstructed, reflecting both shape andoffices, 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 referencedatabases. Using facial recognition system police forces Step 1: Portrait acquisitioncould search particular subjects of interest or suspects in Whenever a person passes through the control zone thefacial 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 differentcases 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-facialpresented matches with individual’s face. This verification texture constructioncan be made by filming the holders when they present their These 4 facial images are processed. Using 2 snapshotsdocuments. made by two cameras the system reconstructs 3D-cloudCriminal investigations. In some criminal investigations of matching points for each pair of cameras. After thatpolice 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 originalwhich faces are clearly visible. This labor-consuming and has some artifacts (glasses, beard, mustaches etc.) theypainstaking 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 modelof good quality could be used for further fraudulent or criminal 3D-surface could be characterized by set of parametersidentification. (3D-template). Templates of the same structure are storedAccess control. The function of access control systems is in reference database together with 2D-photos. To recognizeto check that person attempting to access a secure zone is the person the system makes matching of 3D-templateentitled to do so. Facial recognition system could easily read against reference database and scores each comparedindividual’s face and match it against images in reference image. The higher the score, the higher the similarity withdatabase or/and photo in ID document, smart card or RFID- the image of wanted face.badge. Step 4: Face recognition based on 2D-texture modelHow it works To perform 2D-face recognition the systems forms a synthetic facial image – facial texture is projected onTwo pairs of synchronized VOCORD NetCam4 cameras 3D-surface and then the face is rotated to frontal view ofare 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 referenceplace 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. 3. • Control of max/min exposure timeFeatures • 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 accuracyArchitecture • 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 operatorThese VOCORD NetCam4 cameras support video upon successful face recognitionbroadcasting (total throughputs up 2 Gbit/s): one videostream (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 accompanyingVOCORD NetCam4 cameras have inbuilt video adaptation dataalgorithms 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. 4. architecture is optimal for flexible system scalingand minimizes data network loading.When deploying small-scale systems (1 checkpoint with 4 cameras) all modules could beinstalled 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 staffSpecifications 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 2626Partnerships: partnership@vocord.com 100, Novaya st., Skolkovo village, Odintsovsky district,Product availability: sales@vocord.com Moscow region, Russia, 143025Press office: pr@vocord.com www.vocord.com