Impact and Detection of Facial Beautification in Face Recognition: An Overview
- Others:
- Hochschule Darmstadt
- Spatio-Temporal Activity Recognition Systems (STARS) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- This work was partially supported by the German FederalMinistry of Education and Research (BMBF) and by theHessen State Ministry for Higher Education, Research andthe Arts (HMWK) within the Center for Research in Securityand Privacy (CRISP), as well as by the French Government(National Research Agency; ENR) under grant agreement ANR-17-CE39-0002
- ANR-18-CE92-0024,RESPECT,Authentification multi-biométrique des personnes, fiable, sécurisée et préservant la vie privée(2018)
- ANR-17-CE39-0007,CBCRYPT,Cryptographie basée sur les codes(2017)
Description
Facial beautification induced by plastic surgery, cosmetics or retouching has the ability to substantially alter the appearance of face images. Such types of beautification can negatively affect the accuracy of face recognition systems. In this work, a conceptual categorisation of beautification is presented, relevant scenarios with respect to face recognition are discussed, and related publications are revisited. Additionally, technical considerations and trade-offs of the surveyed methods are summarized along with open issues and challenges in the field. This survey is targeted to provide a comprehensive point of reference for biometric researchers and practitioners working in the field of face recognition, who aim at tackling challenges caused by facial beautification.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-02378939
- URN
- urn:oai:HAL:hal-02378939v1
- Origin repository
- UNICA