Overview
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
- Unconstrained face recognition from still & video
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.
Read more about this topic: Multiple Biometric Grand Challenge