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Face painting: querying art with photos

Abstract:

We study the problem of matching photos of a person to paintings of that person, in order to retrieve similar paintings given a query photo. This is challenging as paintings span many media (oil, ink, watercolor) and can vary tremendously in style (caricature, pop art, minimalist). We make the following contributions: (i) we show that, depending on the face representation used, performance can be improved substantially by learning – either by a linear projection matrix common across identitie...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Oxford college:
Brasenose College
Role:
Author
Publisher:
British Machine Vision Association
Host title:
British Machine Vision Conference 2015
Journal:
British Machine Vision Conference 2015 More from this journal
Pages:
1-13
Publication date:
2015-09-30
Acceptance date:
2015-05-11
Event location:
Swansea
ISBN:
1901725537
Keywords:
Pubs id:
pubs:672030
UUID:
uuid:1be0ed33-3716-4cfd-b96c-7aa2a8c3fb94
Local pid:
pubs:672030
Source identifiers:
672030
Deposit date:
2017-01-19

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