Results 71 to 80 of about 504 (172)

Topological Quasiparticles of Light: From Spin‐Orbit Coupling to Photonic Skyrmions

open access: yesLaser &Photonics Reviews, Volume 19, Issue 24, December 17, 2025.
This review summarizes recent advances in photonic skyrmions, emphasizing the central role of spin–orbit coupling in their formation. The review discusses how spin–orbit interactions generate skyrmionic textures, examines modulation strategies for their dynamic control, and provides an overview of emerging directions and opportunities where these ...
Xinrui Lei, Qiwen Zhan
wiley   +1 more source

Exploring the Security of Mobile Face Recognition: Attacks, Defenses, and Future Directions

open access: yesApplied Sciences
Biometric authentication on smartphones has advanced rapidly in recent years, with face recognition becoming the dominant modality due to its convenience and easy integration with modern mobile hardware.
Elísabet Líf Birgisdóttir   +5 more
doaj   +1 more source

A Novel High-Performance Face Anti-Spoofing Detection Method

open access: yesIEEE Access
Accurate face recognition technology is of great significance for face anti-counterfeiting. Due to illumination, posture, angle, and other reasons, the existing face liveness detection technology is difficult to adapt the environmental changes, resulting
Hui Qi, Rui Han, Ying Shi, Xiaobo Qi
doaj   +1 more source

SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models

open access: yesVisual Intelligence
Multimodal large language models (MLLMs) have demonstrated strong capabilities in vision-related tasks, capitalizing on their visual semantic comprehension and reasoning capabilities.
Yichen Shi   +9 more
doaj   +1 more source

Liveness Detection in Computer Vision: Transformer-Based Self-Supervised Learning for Face Anti-Spoofing

open access: yesIEEE Access
Face recognition systems are increasingly used in biometric security for convenience and effectiveness. However, they remain vulnerable to spoofing attacks, where attackers use photos, videos, or masks to impersonate legitimate users.
Arman Keresh, Pakizar Shamoi
doaj   +1 more source

Face Liveness Detection Using Defocus

open access: yesSensors, 2015
In order to develop security systems for identity authentication, face recognition (FR) technology has been applied. One of the main problems of applying FR technology is that the systems are especially vulnerable to attacks with spoofing faces (e.g., 2D
Sooyeon Kim, Yuseok Ban, Sangyoun Lee
doaj   +1 more source

Domain Generalization and Domain Adaptation Approaches for Face Anti-Spoofing: A Survey

open access: yesIEEE Access
Face Anti-Spoofing (FAS), also referred to as Face Liveness, has emerged as a rapidly evolving field of research in Computer Vision. Closely tied to Face Recognition, its primary objective is to authenticate an identity by verifying its authenticity ...
Hanry Ham   +2 more
doaj   +1 more source

Pengembangan Sistem Anti-Spoofing Berbasis Face Recognition Menggunakan Arsitektur YOLOv8n

open access: yesJournal of Applied Computer Science and Technology
Face spoofing poses a major threat to facial recognition–based authentication systems, especially in web-based environments that require lightweight and real-time verification. This study develops a real-time anti-spoofing system that integrates YOLOv8n
Carmelita Angeline Tanujaya   +2 more
doaj   +1 more source

UCDCN: a nested architecture based on central difference convolution for face anti-spoofing

open access: yesComplex & Intelligent Systems
The significance of facial anti-spoofing algorithms in enhancing the security of facial recognition systems cannot be overstated. Current approaches aim to compensate for the model’s shortcomings in capturing spatial information by leveraging spatio ...
Jing Zhang   +7 more
doaj   +1 more source

Multimodal Face Data Sets—A Survey of Technologies, Applications, and Contents

open access: yesIEEE Access
Introduction. Biometric verification for controlling access to digital devices has become ubiquitous for its ease-of-use but often relies on notoriously data-hungry supervised machine learning.
Kamela Al-Mannai   +3 more
doaj   +1 more source

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