As a facial recognition company, CyberExtruder continues to
evolve with a focus on our mission to maintain a leadership
position in the biometrics industry.
Where we’ve been and where we’re going
How our unique perspective on
facial recognition came about.
1999
2000
2001
2002
2003
2004
2005
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
1999:
CyberExtruder Incorporates
CyberExtruder incorporates to produce 3D facial images for the security, entertainment and health industries.
2000:
First generation of Aureus 3D launched
CyberExtruder demonstrated how it's 2D to 3D conversion works at the 2000 Developer's Conference and immediately began working on 3D character plugins for Unreal Tournament, Quake 3: Arena, The Sims and EA's NHL Hockey video games.
2000:
Recipient of Idea Alley Award
CyberExtruder wins the Idea Alley Idea Fair competition for Best New Technology.
2001:
Recipient of LISTnet Award
CyberExtruder's Aureus 3D technology captures the Best New Technology Award at the Long Island Software Awards (LISA) Competition.
2002:
Relocation to New Jersey
CyberExtruder relocates to the Enterprise Development Center on the campus of the New Jersey Institute of Technology
2003:
Winner of NJTC Award
CyberExtruder wins the award from the New Jersey Technology Council for the Best Emerging Technology.
2003:
FRVT 2002 Results
NIST published the results of the FRVT 2002 and validated CyberExtruder’s approach: “FRVT 2002 also assessed the impact of three new techniques for improving face recognition: three-dimensional morphable models, normalization of similarity scores, and face recognition from video sequences. Results show that three-dimensional morphable models and normalization increase performance.”
2003:
Samsung collaboration
Samsung contracts CyberExtruder to produce two promotional campaigns featuring Aureus 3D image conversion and Samsung's newest camera phone technology. The campaigns are part of Samsung's branding in the 'Matrix:Reloaded' and their presenting sponsorship of the 2004 Winter Olympic Games in Athens.
2004:
SmartGate
CyberExtruder performs research for Australia’s Department of Foreign Affairs and Trade during the testing and implementation of the SmartGate immigration system. The result of this work was to prvide quantitative evidence that large facial expressions like a big smile degrade facial matching scores. These Findings resulted in a 'No Smiling' standard for ICAO for passports around the world.
2005:
Markerless facial modeling
CyberExtruder, in partnership with Bell Labs spin-off face2face, incorporates computer vision, visual speech recognition and facial animation to produce animated 3D models capable of speech and emotion.
2005:
Identix
Identix (now part of MorphoTrust) performs independent testing to evaluate whether 3D data improves the speed and matching scores of its facial recognition products. Identix reported CyberExtruder’s approach to generating 3D did enhance matching scores in real-time monitoring scenarios.
2005:
Quantifying Micro-Expressions
Dr. Paul Ekman and CyberExtruder collaborate to develop a Micro-Expression Training Tool (METT) for the Federal Bureau of Investigation, the Central Intelligence Agency and state and local police forces who turned to Dr. Ekman for help learning to read subtle emotional cues from the faces of potential assassins, terrorists and questionable visa applicants.
2007:
FRVT 2006 Results
NIST reported the findings of the FRVT 2006 and the Iris Challenge Evaluation 2006 which established the first independent performance benchmark for iris recognition technology and 3D face recognition technology. These two benchmarks demonstrated technological approaches for the respective biometrics and concluded that the performance of 3D face and iris recognition is comparable.
2008:
Measuring expressions in real-time
In its report to the US Army's Armament, Research, Development and Engineering Center, CyberExtruder was able to demonstrate for the first time that its approach to creating 3D models from 2D images can be used as a way to determine facial expressions in real time.
2008:
US Patent Granted
US Patent granted for "Apparatus and method for generating a three-dimensional representation from a two dimensional image"
2009:
Expanded Identification
CyberExtruder expands its identification toolset to include recognizing an unknown subject by their ears.
2010:
Two more Patents granted
Two more US Patents are granted for “Apparatus and method for generating a three-dimensional representation from a two dimensional image”
2011:
DHS asks for real-time face matching
CyberExtruder exceeds Department of Homeland Security's expectations by delivering software which increases facial recognition matching accuracy by 26.5% when compared to the state-of-the-art 2D facial recognition products
2011:
Aureus 3D granted fourth Patent
CyberExtruder receives its fourth US Patent for “System, Method and Apparatus for generating a three dimensional representation from one or more two dimensional images”
2012:
Unisys brings Aureus 3D to Brazil
Unisys partners with CyberExtruder to bring Aureus 3D to Brazilian financial markets who want to improve Concierge services to Private Client Banking
2013:
Great year for new partnerships
Digital Signal Corporation licenses Aureus 3D to generate baseline 3D face recognition galleries and NEC America licenses Aureus 3D into NEC’s NeoFace Reveal forensic workstation. Hardware partners Corvus Integration licenses Aureus 3D for automatic eye detection and tracking for its Vista EY2R camera and camera manufacturer IQinVision partners with CyberExtruder to develop FR based access control analytics for their IP cameras.
2013:
NIST FRVT 2013
CyberExtruder participates in NIST’s FRVT 2013 Class F evaluation which is designed to look into how pose correction i.e. normalizing a non frontal face image to be front facing, impacts COTS face matchers. The report found that when both probe and gallery images were normalized there was an increase in matching scores from every matcher tested.
2014:
Michigan State University Report
Dr. Anil Jain and Dr. Lacey Best-Rowden publish Technical Report MSU-CSE-14-1 documenting the benefits of 3D face models when performing unconstrained face recognition.
2014:
AGT International
As part of a Safe City project in the Pacific Rim, AGT International vigorously tested the spectrum of face matching technologies available. At the end of the year long test Aureus 3D was selected to power the covert face recognition project.
2014:
O-Tech Solutions in Casinos
Native American integrator O-Tech Solutions selects Aureus 3D to demonstrate the ROI that can be realized by incorporating face recognition technology into both security and customer service settings.
2015:
Tygart Technologies
Tygart Technology partners with CyberExtruder to integrate Aureus 3D into MXSERVER.
2015:
NIST Face in Video Evaluation
CyberExtruder submitted Aureus 3D version 5.3 for evaluation by NIST.
2015:
Aureus 3D Image Analysis SDK
CyberExtruder releases the Aureus 3D Image Analysis SDK for OEM partners who need to ensure compliance with ISO 19794-5 specification for facial image data.
2016:
New Partnerships in 2016
In 2016 CyberExtruder extended its partnership with NEC which licensed Aureus 3D for integration into its NeoFace Watch product. We are also happy to welcome IPVideo Corporation which added Aureus 3D to its SentryVMS and C3fusion products. Allevate ltd integrates Aureus 3D into Face Searcher and Aimetis integrates Aureus 3D into Symphony VMS
2016:
US Department of Defense
CyberExtruder and Sciometrics win a US Department of Defense project to build the next generation of face recognition software based upon Aureus 3D. Included in this project will be improvements to the state of the art super resolution techniques and facial feature analysis to help investigators make identifications based upon features like the ears, nose or chin.
2017:
2017 Partnerships
Debuting at ISC West, Arteco Global's integration of Aureus 3D as the face recognition engine to power its NEXT VMS platform and Vicon Industries addition of Aureus 3D to its Valerus VMS platform.
2017:
Aureus 3D 5.7 Better, Stronger, Faster
CyberExtruder is proud to release Aureus 3D FR version 5.7. This release tops all industry measures with an amazing increase in speed, accuracy and and the industry's smallest template at only 128-bytes. Aureus 3D v5.7 dominates the competition with the capability to perform 25 million matches per second per CPU core. In addition, Aureus 3D's video decoding speed is double our prior version resulting in lower hardware requirements.
Management team
Paul E. Nicholas
President and ceo
Mr. Paul Nicholas joined CyberExtruder as President and CEO of the management team in April 2015 after spending three months as an advisor to the company working on behalf of its board and investors. Paul’s focus is to build a selective network of OEM’s, integrators and solution providers who will integrate CyberExtruder’s industry-leading facial recognition technology into their applications. Paul is committed to providing and supporting the process of bringing the most accurate, efficient and effective facial recognition solutions to CyberExtruder customers.
Jack Ives
Chief operating officer and co-founder
For the last 20 years, Jack Ives has brought new technologies and solutions to market in the fields of application engineering, internet software, and 3D re-creations. As a co-founder of CyberExtruder, Jack helped move the company from start-up to commercially successful enterprise. Jack serves on the management team and acts as the interpreter of customer’s needs in addition to guiding the technical team to shape CyberExtruder’s software development into applications that address business and operational requirements.
Dr. Timothy Parr, B.SC., M.SC., PH.D.
Chief technology officer and co-founder
Dr. Timothy Parr is a pioneer in imaging software design with nearly two decades of experience in computer vision, image processing, pattern recognition, experimental design and computer graphics. As CyberExtruder’s Chief Technology Officer, his management team responsibilities include overseeing the company’s software algorithms which automatically create 3D meshes of a human head from one (or more) images to establish a 3D facial template.
