Joint Face Image Restoration and Frontalization for Recognition

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 3; pp. 1285 - 1298
• Main Authors: Tu, Xiaoguang, Zhao, Jian, Liu, Qiankun, Ai, Wenjie, Guo, Guodong, Li, Zhifeng, Liu, Wei, Feng, Jiashi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D based face normalization; Coders; Encoders-Decoders; Face recognition; Feature extraction; Generators; Image quality; Image restoration; Lighting; multi-degradation face restoration; Object recognition; Task analysis; Training; unconstrained face recognition

In real-world scenarios, many factors may harm face recognition performance, e.g ., large pose, bad illumination, low resolution, blur and noise. To address these challenges, previous efforts usually first restore the low-quality faces to high-quality ones and then perform face recognition. However,...