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Occluded Face Recognition in the Wild by Identity-Diversity Inpainting

IEEE Transactions on Circuits and Systems for Video Technology, 2020
Face recognition has achieved advanced development by using convolutional neural network (CNN) based recognizers. Existing recognizers typically demonstrate powerful capacity in recognizing un-occluded faces, but often suffer from accuracy degradation when directly identifying occluded faces.
Shiming Ge, Chenyu Li, Shengwei Zhao
exaly   +2 more sources

Multi-task ConvNet for blind face inpainting with application to face verification

2016 International Conference on Biometrics (ICB), 2016
Face verification between ID photos and life photos (FVBIL) is gaining traction with the rapid development of the Internet. However, ID photos provided by the Chinese administration center are often corrupted with wavy lines to prevent misuse, which poses great difficulty to accurate FVBIL.
Shu Zhang 0015   +3 more
openaire   +1 more source

Novel Inpainting Algorithm for heavily occluded face reconstruction

2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013
Face biometric adores a prime spot amongst various other Biometrics for being most easily accessible. At the present age with ever rising crime rate, Biometric Authentication has earned itself an inseparable berth in the public security system applications which require highly proficient Real Time identity retrieval.
A. Bindu, C. N. Ravi Kumar
openaire   +1 more source

Fast Wavelet Thresholding Algorithms for Face Image Inpainting

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013
Wavelet iteration inpainting has been well known as an important method of image inpainting, which usually requires a lot of iterations. There are some fast algorithm can be used in image inpainting. A Fast Iterative Shrinkage Thresholding Algorithm (FISTA) was introduced to carry out our face image inpainting.
Yibin Yu   +3 more
openaire   +1 more source

Synthetic Face Generation Through Eyes-to-Face Inpainting

2023 IEEE International Joint Conference on Biometrics (IJCB), 2023
Ahmad Hassanpour   +4 more
openaire   +1 more source

Lower Face Inpainting Aiming at Face Recognition under Occlusions

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2022
Xi Wang, Tadashi Okoshi, Jin Nakazawa
openaire   +1 more source

Occluded Face Recognition by Identity-Preserving Inpainting

2019
Occluded face recognition, which has an attractive application in the visual analysis field, is challenged by the missing cues due to heavy occlusions. Recently, several face inpainting methods based on generative adversarial networks (GANs) fill in the occluded parts by generating images fitting the real image distributions.
Chenyu Li   +4 more
openaire   +1 more source

Fine-Grained Blind Face Inpainting with 3D Face Component Disentanglement

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Yu Bai   +4 more
openaire   +1 more source

Face inpainting based on GAN by facial prediction and fusion as guidance information

Applied Soft Computing Journal, 2021
Canghong Shi   +2 more
exaly  

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