De-identification of profile pictures while retaining facial features using generative adversarial networks

De-identification of profile pictures while retaining facial features using generative adversarial networks

In this paper, we propose a method to perform de-identification of profile pictures by using Generative Adversarial Networks (GANs) to generate similar images of people. The goal is to maximally mask the identity of the individual, by making them unrecognisable to their friends and family, while ret...

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Bibliographic Details
Main Author: Lim, Yee Han
Other Authors: Kong Wai-Kin Adams
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/148060

Internet

https://hdl.handle.net/10356/148060

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