Banca de DEFESA: KEYLLY EYGLYS ARAÚJO DOS SANTOS

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : KEYLLY EYGLYS ARAÚJO DOS SANTOS
DATE: 30/09/2024
TIME: 09:00
LOCAL: Sala Virtual
TITLE:

Face Representation for Online Interactions Using Bidirectional Generative Adversarial Networks (BiGANs)

KEY WORDS:

 Bidirectional Generative Adversarial Networks (BiGANs), Face Representation, Efficient Data Transmission, Online Interactions, Deep Learning.

PAGES: 90
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

In this research, a new method for face representation is presented, which utilizes Bidirectional Generative Adversarial Networks (BiGANs), showing significant progress compared to conventional methods of video transmission using MPEG-2 compression techniques. In scenarios such as online meetings, our approach takes advantage of the inherent bidirectional capabilities of BiGANs in virtual environments to produce compact yet highly expressive facial representations. As a result, the amount of data required for transmission is reduced. The effectiveness of our approach in generating high-quality synthetic face images that closely resemble the original faces was demonstrated through our experiments, which were conducted on a dataset consisting of 813 frames of an individual's face. Furthermore, the method's capability to preserve higher values of the Structural Similarity Index (SSIM) and Peak Signal-to-Noise Ratio (PSNR) highlights its potential to generate synthetic facial images with minimal degradation in quality. This makes it an encouraging approach for real-time online communication, especially in situations with limited bandwidth.

COMMITTEE MEMBERS:
Presidente - 347628 - ADRIAO DUARTE DORIA NETO
Interno - 2579664 - ALLAN DE MEDEIROS MARTINS
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO - UFRNExterno à Instituição - JOÃO PAULO FERREIRA GUIMARÃES - IFRN
Externo à Instituição - MANOEL DO BONFIM LINS DE AQUINO - IFRN