Revolutionizing Identification: The Dynamic Frontier of Face Recognition Embracing Multifaceted Pose Angles for Unparalleled Precision and Versatility

Abstract

In the modern era, facial recognition technology has emerged as a prominent tool in security, authentication, and human-computer interaction. However, a significant difficulty persists in effectively understanding and correctly recognizing faces from various perspectives. This proposed work presents a novel research model on the FEI (Face Expression of Images) database