Código QR

METHOD OF MODIFIED POSE-INVARIANT FACE FRONTALIZATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS WITH L1–L2 LOSS REGULARIZATION

Pose variation in facial imagery presents a persistent challenge for automated face recognition systems, particularly in uncontrolled environments such as surveillance, access control, and mobile device authentication. This paper introduces an approach based on Conditional Generative Adversarial Net...

Descrición completa

Gardado en:
Principais autores: Aarfa Zafar, Tanweer Jamal Ansari, Md Kashif, Saiyed Umer, Partha Pratim Mohanta
Formato: Artigo
Idioma:Inglês
Publicado: ICT Academy of Tamil Nadu 2026-02-01
Series:ICTACT Journal on Image and Video Processing
Assuntos:
face frontalization
conditional gan
pose-invariant face recognition
l1 loss
l2 loss
generative adversarial networks
Acceso en liña:https://ictactjournals.in/paper/IJIVP_Vol_16_Iss_3_Paper_8_3848_3856.pdf
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares