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GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION

Abstract: 

In this paper, we propose a novel approach for the domain of makeup-robust face recognition. Most face recognition schemes usually fail to generalize well on these data where there is a large difference between the training and testing sets, e.g., makeup changes. Our method focuses on the problem of determining whether face images before and after makeup refer to the same identity. The work on this fundamental research topic benefits various real-world applications, for example automated passport control, security in general, and surveillance. Experiments show that our method is highly effective in comparison to state-of-the-art methods.

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Paper Details

Authors:
Horst Eidenberger
Submitted On:
4 October 2018 - 9:15am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Markus Hörhan
Paper Code:
1843
Document Year:
2018
Cite

Document Files

Poster_A1.pdf

(53)

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[1] Horst Eidenberger, "GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3394. Accessed: Aug. 25, 2019.
@article{3394-18,
url = {http://sigport.org/3394},
author = {Horst Eidenberger },
publisher = {IEEE SigPort},
title = {GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION
AU - Horst Eidenberger
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3394
ER -
Horst Eidenberger. (2018). GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION. IEEE SigPort. http://sigport.org/3394
Horst Eidenberger, 2018. GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION. Available at: http://sigport.org/3394.
Horst Eidenberger. (2018). "GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION." Web.
1. Horst Eidenberger. GESTALT INTEREST POINTS WITH A NEURAL NETWORK FOR MAKEUP-ROBUST FACE RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3394