When Anne Boleyn was executed in 1536 , images of the queen were destroyed — leaving only one certain line drawing of her in existence . Now , facial recognition computer software may have discovered another contemporary portrayal of Boleyn .
The only uncontested portrait of her is atop a baste jumper cable disc , know as the Moost Happi medal , sitting in the British Museum in London . But now , reports the Guardian , researcher in California have used facial recognition to equate the look on the Moost Happi medal with other painting — and have discover a close friction match with a portrait held at the Bradford Art Galleries and Museums in the UK . This paradigm shows a cleaning woman wear out jewelry that ’s long been thought to belong to Boleyn , though some scholars claim that it is worn by Jane Seymour , the third wife of King Henry VIII , in the picture .
The software in enquiry employ anatomical measure — the breadth of noses , length between the eyes , heterosexuality of eyebrow and so on — to make out similarity and differences between painting . Presented with a new range of a function , it will provide a chance that it ’s a semblance of a someone who ’s been picture in other portraiture . It can never be perfect — because creative person styles take issue and there are n’t as many paintings as there are , say , Facebook image to do the same matter with your likeness — but it can still execute a reasonable job .
Now , presenting his workplace at the American Association for the Advancement of Science meeting in San Jose , academic Roy - Chowdhury has described how the programme ’s been trained using the Moost Happi medal image . In the process , it showed that the portrayal held at the Bradford Art Galleries and Museums is a potential picture of the tabby . Roy - Chowdhury has also explain that the software has found what may be the earliest portrait of the astronomer Galileo Galilei .
Also probably is that the software will also have kick - started debate among art historiographer the world over , too . [ Guardian ]
Image by Bradford Art Galleries and Museums
Facial RecognitionHistoryScience
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