News and insight into biometric identification and authentication

Microsoft Research Asia advances facial recognition software

Wednesday, August 10, 2011

Researchers from Microsoft Research Asia are presenting new methods of capturing high-fidelity 3D facial expressions at SIGGRAPH 2011 in Vancouver.

The research team, made up of Haoda Huang, Xin Tong and Hsiang-Tao Wu from Microsoft Research Asia, along with Jinziang Chai from Texas A&M University, used a two-step process to create more realistic 3D images.


AsianScientist reports that the team used both marker-based motion capture and high-resolution scanners to recreate faces that include details such as wrinkles that move as the image moves. Using the dual process meant that a minimal number of scans were necessary for accurate facial reconstruction.

While the team still needs to tweak its approach in order to fully realize its goals, this research may prove to be beneficial in the fields computerized film making and avatar creation, in terms of making more realistic images.

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DigitalPersona Inc. released a new version of its DigitalPersona Pro Enterprise software that includes facial recognition as a method for authentication.

Facial recognition can now be combined with fingerprint biometrics, passwords, PINs, proximity cards, smart cards and OATH tokens for a multi-factor authentication solution. Policy creation and enforcement works through a client’s existing Active Directory infrastructure.

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Nevada-based multimodal biometric authentication provider BioID has announced that its webcam-based biometric recognition product can now be used for authentication to Intel’s Cloud SSO and McAfee’s Cloud Identity Manager products.

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FingerTec USA has expanded its line of fingerprint time clock software systems with the Face ID 3, which utilizes facial recognition capability.

Face ID 3 is a contact-free computer timeclock that can be used in business or home environments. The system weighs about four pounds and uses facial recognition plus a network of infrared scanners for a surface texture analysis (STA) algorithm.

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Three University of California, Riverside scholars have received a $25,000 grant from the National Endowment for the Humanities to launch a program that will use facial recognition software to identify unknown subjects in portrait art.

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