Meanwhile on Twitter

Adam Har­vey: »Reminder that sim­ply wear­ing a base­ball cap and look­ing down at phone cre­ates dif­fi­cul­ties for facial recog­ni­tion sys­tems« com­ment­ing on this study:

»FIVE ran 36 pro­to­type algo­rithms from 16 com­mer­cial sup­pli­ers on 109 hours of video imagery tak­en at a vari­ety of set­tings. The video images includ­ed hard-to-match pic­tures of peo­ple look­ing at smart­phones, wear­ing hats or just look­ing away from the cam­era. Light­ing was some­times a prob­lem, and some faces nev­er appeared on the video because they were blocked, for exam­ple, by a tall per­son in front of them.

NIST used the algo­rithms to match faces from the video to data­bas­es pop­u­lat­ed with pho­tographs of up to 48,000 indi­vid­u­als. Peo­ple in the videos were not required to look in the direc­tion of the cam­era. With­out this require­ment, the tech­nol­o­gy must com­pen­sate for large changes in the appear­ance of a face and is often less suc­cess­ful. The report notes that even for the more accu­rate algo­rithms, sub­jects may be iden­ti­fied any­where from around 60 per­cent of the time to more than 99 per­cent, depend­ing on video or image qual­i­ty and the algorithm’s abil­i­ty to deal with the giv­en sce­nario.«

https://www.nist.gov/news-events/news/2017/04/identifying-faces-video-images-major-challenge-nist-report-shows