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Multicolumn networks for face recognition

Abstract:

The objective of this work is set-based face recognition, i.e. to decide if two sets of images of a face are of the same person or not. Conventionally, the set-wise feature descriptor is computed as an average of the descriptors from individual face images within the set. In this paper, we design a neural network architecture that learns to aggregate based on both “visual” quality (resolution, illumination), and “content” quality (relative importance for discriminative classification).

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573
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Publisher:
British Machine Vision Association Publisher's website
Journal:
29th British Machine Vision Conference (BMVC 2018) Journal website
Host title:
29th British Machine Vision Conference (BMVC 2018)
Publication date:
2018-09-06
Acceptance date:
2018-07-02
Source identifiers:
944849
Pubs id:
pubs:944849
UUID:
uuid:caea1912-d942-4b4d-9e3a-99e251db6e40
Local pid:
pubs:944849
Deposit date:
2018-11-21

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