The Intelligence Advanced Research Project Activity has revealed details of a face recognition contest it has launched.Launched in partnership with the National Institute of Standards and Technology, the challenge is called “Do you have the most accurate unconstrained face recognition algorithm?”In a statement, IARPA said the goal of the Face Recognition Prize Challenge is to improve core face recognition accuracy and expand the breadth of capture conditions and environments suitable for successful face recognition. The Challenge comes in two parts: 1) Face identification involves executing one-to-many search to return the correct entry from a gallery, if any; 2) Face verification requires the algorithm to match two faces of the same person while correctly rejecting faces of different persons. Both tasks involve “non-cooperative” images where subjects were unaware of the camera or, at least, did not engage with, or pose for, the camera.”Face recognition is hard. Algorithms are known to commit both false negative and false positive errors, especially when factors such as head pose, illumination, and facial expression depart from formal portrait photograph standards”, writes the organisation.” IARPA is also aware that enormous research has been conducted in recent years with the advent of various deep neural network technologies. IARPA is interested to know whether this rich vein of research has produced advancements in face recognition accuracy.”The Search Accuracy Prize is $25,000, the Search Speed Prize is $5,000, while the Verification Prize is $20,000.Registration to join the challenge takes place through this Challenge.gov website. From here participants are directed to register with the National Institute of Standards and Technology (NIST) FRPC Support Website. Registration closes on June 15, 2017.
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