Background
Over the last decade, numerous government and industry organizations have moved or are moving toward deployingOverview
The primary goal of the MBGC is to investigate, test and improve performance of face and iris recognition technology on both still and video imagery through a series of challenge problems and evaluation. The MBGC seeks to reach this goal through several technology development areas: *Face recognition on still frontal, real-world-like high and low resolution imagery *Iris recognition from video sequences and off-angle images *Fusion of face and iris (at score and image levels) *Unconstrained face recognition from still & video *Recognition from Near Infrared (NIR) & High Definition (HD) video streams taken through portals The MBGC will consist of a set of challenge problems designed to advance the current state of technology and conclude with a planned independent evaluation. Challenge problems will focus on three major areas: *Iris and Face Recognition from Portal Video: the goal is to develop algorithms that recognize people from near infrared image sequences and high definition video sequences. The sequences will be acquired as people walk through a portal. *Iris and Face Recognition from Controlled Images: the goal is to improve performance on iris and face imagery. Face data will be real-world-like high and low resolution images of frontal faces. Iris images will consist of still and video iris sequences. *Still and Video Face: the goal is to advance recognition from unconstrained outdoor video sequences and still images. These challenge problems will allow for fusion of face and iris at both the score level and the image level.Challenge Problem Structure Overview
The Multiple Biometric Grand Challenge is based on previous challenges directed by Dr. P. Jonathon Phillips. Specifically the Facial Recognition Grand Challenge (FRGC) and the Iris Challenge Evaluation (ICE 2005). The programmatic process of a Challenge Problem is as follows. The Challenge Team designs the protocols, challenge problems, prepares challenge infrastructure, and composes the necessary data sets. Organizations then sign licenses to receive the data and begin to develop technology (mostly computer algorithms) in an attempt to solve the various challenges laid out by the Challenge Team. To advance and inform the various participants and interested parties the Team hosts workshops. The first workshop gives an overview of the challenge and introduces the first set of challenge problems (typically referred to as Version 1). The data sets are then released to participating organizations who develop their algorithms and submit self reported results back to the Challenge Team in the form of similarity matrices. The Team analyzes these results and then hosts another workshop. At the 2nd Workshop the Challenge Team reports the results from Challenge Version 1 and releases the Challenge Version 2. The cycle is repeated, finishing with a final workshop. At this stage the Participants are requested to submit not their self reported results, but the actual executables (or SDKs) to their algorithms. The Challenge Team then runs these algorithms through a battery of tests on large sequestered datasets. This phase ultimately determines the performance levels of the participant’s algorithms. A final report is issued by the Team which is used by Industries and Governments to determine the actual state of the art in a given field and to provide participating organizations a basis for showing their performance within that field.MBGC Challenge Version 1
The Multiple Biometric Challenge Version 1 was released in April 2008. This initial set of challenge problems had the following goals. *Familiarize community with problem and data. *Introduce participants to challenge protocol and experiment environment. *Grow the research community that works on these problems. *1st Characterization of the state of the art. The Version 1 series was separated into three distinct areas with various experiments under those areas. *Portal Challenge **Still Iris versus Near Infrared (NIR) **Video Iris versus Near Infrared (NIR) **Still Face versus High Definition (HD) Video **Multiple Biometrics (Fusion) ***Still Face / Still Iris versus Near Infrared (NIR) / High Definition (HD) Video ***Still Face / Video Iris versus Near Infrared (NIR) / High Definition (HD) Video Version 1 results were submitted in November 2008, and reported at the MBGC 2nd Workshop in December 2008.MBGC Challenge Version 2
Will be released in January 2009. Submitted results will be reported at the MBGC 3rd Workshop in Spring 2009.Multiple Biometric Evaluation (MBE)
The Multiple Biometric Evaluation (MBE) will begin in Summer 2009. The purpose of the MBE is to conduct an independent evaluation of the MBGC submissions on large sequestered data sets.Sponsors
* Intelligence Advanced Research Projects Agency (IARPA)References
Footnotes
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