Face occlusions, covering either the majority or discriminative parts of the face, can break facial perception and produce a drastic loss of information. Biometric systems such as recent deep face recognition models are not immune to obstructions or other objects covering parts of the face. While most of the current face recognition methods are not optimized to handle occlusions, there have been a few attempts to improve robustness directly in the training stage. Unlike those, we propose to study the effect of generative face completion on the recognition. We offer a face completion encoder-decoder, based on a convolutional operator with a gating mechanism, trained with an ample set of face occlusions. To systematically evaluate the impact of realistic occlusions on recognition, we propose to play the occlusion game: we render 3D objects onto different face parts, providing precious knowledge of what the impact is of

Does Generative Face Completion Help Face Recognition? / Mathai, J; Masi, I; Abdalmageed, W. - (2019). (Intervento presentato al convegno IAPR International Conference on Biometrics tenutosi a Crete. Greece).

Does Generative Face Completion Help Face Recognition?

Masi I;
2019

Abstract

Face occlusions, covering either the majority or discriminative parts of the face, can break facial perception and produce a drastic loss of information. Biometric systems such as recent deep face recognition models are not immune to obstructions or other objects covering parts of the face. While most of the current face recognition methods are not optimized to handle occlusions, there have been a few attempts to improve robustness directly in the training stage. Unlike those, we propose to study the effect of generative face completion on the recognition. We offer a face completion encoder-decoder, based on a convolutional operator with a gating mechanism, trained with an ample set of face occlusions. To systematically evaluate the impact of realistic occlusions on recognition, we propose to play the occlusion game: we render 3D objects onto different face parts, providing precious knowledge of what the impact is of
2019
IAPR International Conference on Biometrics
face completion, deep learning, face analysis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Does Generative Face Completion Help Face Recognition? / Mathai, J; Masi, I; Abdalmageed, W. - (2019). (Intervento presentato al convegno IAPR International Conference on Biometrics tenutosi a Crete. Greece).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1458889
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