Face Image Reflection Removal

Renjie Wan*, Boxin Shi*, Haoliang Li, Ling Yu Duan, Alex C. Kot

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

12 Citations (Scopus)

Abstract

Face images captured through glass are usually contaminated by reflections. The low-transmitted reflections make the reflection removal more challenging than for general scenes because important facial features would be completely occluded. In this paper, we propose and solve the face image reflection removal problem. We recover the important facial structures by incorporating inpainting ideas into a guided reflection removal framework, which takes two images as the input and considers various face-specific priors. We use a newly collected face reflection image dataset to train our model and compare with state-of-the-art methods. The proposed method shows advantages in estimating reflection-free face images for improving face recognition.

Original languageEnglish
Pages (from-to)385-399
Number of pages15
JournalInternational Journal of Computer Vision
Volume129
Issue number2
Early online date15 Sept 2020
DOIs
Publication statusPublished - Feb 2021

Scopus Subject Areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

User-Defined Keywords

  • Deep learning
  • Face images
  • Optical flow
  • Reflection removal

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