Standoff Biometric Identification – Face Recognition

https://media.defense.gov/2013/Aug/19/2000706422/750/422/0/130717-M-YH552-901.JPG / (Photo Credit: Cpl. Alejandro Pena U.S. Marine Corps)
https://media.defense.gov/2013/Aug/19/2000706422/750/422/0/130717-M-YH552-901.JPG / (Photo Credit: Cpl. Alejandro Pena U.S. Marine Corps)

Posted on October 4, 2018 | Completed on October 4, 2018 | By: Defense Systems Information Analysis Center (DSIAC)

What are the current-state technologies, solutions, and limitations of stand-off biometric identification, specifically in face recognition?

DSIAC was tasked with investigating standoff biometric identification, specifically face recognition, technologies/solutions, and their limitations. U.S. government programs researching this topic and pertinent publications/reports related to face recognition research was also of interest. A DSIAC biometrics and computer vision subject matter expert (SME) from West Virginia University (WVU) provided a brief overview of different standoff biometric technologies for potential application to military sensing and scene understanding, specifically to human identification on challenging environments. Additionally, he provided a multiple source bibliography of ~30 research articles with descriptions, references for ~40 research articles, and a list of biometrics technology SME organizations and individuals for academia, government, and industry recommended to support a potential bilateral workshop. Finally, he supplied a list of ongoing WVU biometrics research projects related to face recognition and contacts with detailed information. This report can be found in the DTIC R&E Gateway.

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