Skip to Main content Skip to Navigation
Journal articles

Impact and Detection of Facial Beautification in Face Recognition: An Overview

Abstract : 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.
Complete list of metadata

Cited literature [94 references]  Display  Hide  Download

https://hal.inria.fr/hal-02378939
Contributor : Antitza Dantcheva <>
Submitted on : Wednesday, November 27, 2019 - 10:41:31 AM
Last modification on : Monday, December 14, 2020 - 6:02:04 PM
Long-term archiving on: : Friday, February 28, 2020 - 1:57:28 PM

File

Beautification_Survey-4-2.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Christian Rathgeb, Antitza Dantcheva, Christoph Busch. Impact and Detection of Facial Beautification in Face Recognition: An Overview. IEEE Access, IEEE, 2019, ⟨10.1109/ACCESS.2019.DOI⟩. ⟨hal-02378939⟩

Share

Metrics

Record views

106

Files downloads

1762