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DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION

Abstract: 

Among the many known type of intra-class variations, facial expressions are considered particularly challenging, as witnessed by the large number of methods that have been proposed to cope with them. The idea inspiring this work is that dynamic facial features (DFF) extracted from facial expressions while a sentence is pronounced, could possibly represent a salient and inherently safer biometric identifier, due to the greater difficulty in forging a time variable descriptor instead of a static one. We therefore investigated on how a set of geometrical features, defined as distances between landmarks located in the lower half of face, changes across time while a sentence is uttered to find the most effective yet compact representation. The features vectors built upon these time-series were used to train a deep feed-forward neural network on the OuluVS visual-speech database. Testing in identification modality resulted in 98.2% of average recognition accuracy, 0.64% of equal error rate and a remarkable robustness to how the sentence is pronounced.

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Paper Details

Authors:
Davide Iengo, Michele Nappi, Davide Vanore
Submitted On:
18 September 2019 - 7:03pm
Short Link:
Type:
Poster
Event:
Paper Code:
3041
Document Year:
2019
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Document Files

Poster_Presentation_Paper #3041.pdf

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[1] Davide Iengo, Michele Nappi, Davide Vanore, "DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4669. Accessed: Jul. 13, 2020.
@article{4669-19,
url = {http://sigport.org/4669},
author = {Davide Iengo; Michele Nappi; Davide Vanore },
publisher = {IEEE SigPort},
title = {DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION},
year = {2019} }
TY - EJOUR
T1 - DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION
AU - Davide Iengo; Michele Nappi; Davide Vanore
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4669
ER -
Davide Iengo, Michele Nappi, Davide Vanore. (2019). DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION. IEEE SigPort. http://sigport.org/4669
Davide Iengo, Michele Nappi, Davide Vanore, 2019. DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION. Available at: http://sigport.org/4669.
Davide Iengo, Michele Nappi, Davide Vanore. (2019). "DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION." Web.
1. Davide Iengo, Michele Nappi, Davide Vanore. DYNAMIC FACIAL FEATURES FOR INHERENTLY SAFER FACE RECOGNITION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4669