Deep Learning Models for Automatic Makeup Detection
Makeup can disguise facial features, which results in degradation in the performance of many facial-related analysis systems, including face recognition, facial landmark characterisation, aesthetic quantification and automated age estimation methods. Thus, facial makeup is likely to directly affect...
Main Authors: | Theiab Alzahrani, Baidaa Al-Bander, Waleed Al-Nuaimy |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | AI |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-2688/2/4/31 |
Similar Items
-
Deep learning method for makeup style transfer: A survey
by: Xiaohan Ma, et al.
Published: (2021-01-01) -
Deep Anomaly Detection Based on Variational Deviation Network
by: Junwen Lu, et al.
Published: (2022-03-01) -
Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation
by: Theiab Alzahrani, et al.
Published: (2021-04-01) -
Makeup Presentation Attacks: Review and Detection Performance Benchmark
by: Christian Rathgeb, et al.
Published: (2020-01-01) -
Shadow Estimation for Ultrasound Images Using Auto-Encoding Structures and Synthetic Shadows
by: Suguru Yasutomi, et al.
Published: (2021-01-01)