Face Image Reflection Removal

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 reflecti...

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Bibliographic Details
Published inInternational journal of computer vision Vol. 129; no. 2; pp. 385 - 399
Main Authors Wan, Renjie, Shi, Boxin, Li, Haoliang, Duan, Ling-Yu, Kot, Alex C.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2021
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Computer Imaging
Computer Science
Face recognition
Image Processing and Computer Vision
Image transmission
Object recognition
Pattern Recognition
Pattern Recognition and Graphics
Vision
Deep learning
Optical flow
Reflection removal
Face images
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Summary: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.
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ISSN:0920-5691
1573-1405
DOI:10.1007/s11263-020-01372-5