Please use this identifier to cite or link to this item:
Title: Remove specular highlight from facial images using deep learning
Authors: Ooi, Yue Ying
Keywords: Engineering::General
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Ooi, Y. Y. (2021). Remove specular highlight from facial images using deep learning. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: SCSE20-0478
Abstract: In this paper, I present an image pre-processing technique, known as specular highlight removal in facial images. In comparison to previous works that depend on physical and statistical properties of human skin and faces, I propose a deep learning algorithm using autoencoder to generate highlight-free/diffuse facial images. By taking facial images with specular highlight as the input, the autoencoder model that has been trained on the corresponding diffuse images will attempt to reconstruct diffuse images from the features that it has learned. The results obtained in this project demonstrate a good learning efficiency and reliable reconstruction of the facial image. I have also built a dataset of synthetic facial images in a different lighting environment that was used in this facial highlight removal experiment.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
2.21 MBAdobe PDFView/Open

Page view(s)

Updated on May 15, 2022


Updated on May 15, 2022

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.