ILLUMINATION EFFECTS ON FACE RECOGNITION ALGORITHMS: A COMPARATIVE ANALYSIS AND PRACTICAL INSIGHTS
Face recognition systems are being deployed everywhere these days, from airport security to smartphone unlocking. But there's a problem that keeps coming up: these systems don't work well when the light changes.
Kledia Tirana, Denis Veliu, Amos Huta
doaj +1 more source
A Scoping Review of Literature on Deep Learning Techniques for Face Recognition
Deep learning has led to the creation of facial recognition technologies using convolutional neural networks (CNNs). This preliminary study explores the application of CNN architectures in face recognition to gain a deeper understanding of the challenges and methodologies in the field.
Andisani Nemavhola +3 more
wiley +1 more source
Against linkage: A novel generative face anonymization framework with style diversification
Deep learning‐based user identity linkage poses a risk to the diversity of virtual faces generated by existing generative face anonymization methods. To address this issue, we propose the Style Diversification‐based Generative Face Anonymization (SD‐GFA) framework, which generates diverse and high‐quality virtual faces to protect identities and ...
Mingcheng Zhu +4 more
wiley +1 more source
Reconocimiento facial : FaceNet y AWS rekognition [PDF]
Resumen: La evolución de tecnología y las comunicaciones nos ha permitido representar nuestro entorno en formato digital tanto en texto como en imágenes y video. La digitalización del medio que nos rodea dió la posibilidad de capturar grandes conjuntos
Diaz y Diaz, Juan Francisco
core
IMPLEMENTATION OF FACE RECOGNITION ATTENDANCE SYSTEM FOR PT. SUMBER KURNIA ALAM WITH MTCNN AND FACENET ALGORITHM [PDF]
Attendance taking is an essential and recurring task in many organizations. Traditionally, ttendance is recorded manually using pen and paper, which can be time-consuming, prone to erros, and inefficient.
THE, VICTOR
core
Class‐wised domain decoupling‐guided adversarial feature learning for cross‐age face recognition
To suppress the interference of age factors in cross‐age face recognition tasks, an adversarial feature learning strategy is devised to distinguish identity and age factors adaptively. The strategy of increase domain distribution difference of identity features and age features has also been proved to be effective.
Yongbo Wu, Haifeng Hu, Dihu Chen
wiley +1 more source
Facial recognition flowchart in FaceNet network. [PDF]
The continuous development of science and technology has led to the gradual digitization and intelligence of campus construction. To apply facial recognition technology to construct smart libraries in higher education, this study optimizes traditional ...
Yan Liu (25061), Yan Qu (682614)
core +1 more source
A Multicomponent Face Verification and Identification System
Face recognition technology is a biometric technology, which is based on the identification or verification of facial features. Automatic face recognition is an active research field in the context of computer vision and artificial intelligence (AI) that
Athanasios Douklias +7 more
doaj +1 more source
نموذج اكتشاف التزييف العميق على أساس الميزات المجمعة المستخرجة من تقنيات facenet و pca
Laheeb Mohammad Ibrahim +1 more
doaj +1 more source
Integración y evaluación de sistemas de reidentificación de caras usando MTCNN y FaceNet en C++ [PDF]
En la actualidad el reconocimiento facial ha cobrado gran importancia debido a las múltiples aplicaciones con las que se le vincula. En este proyecto, junto con la empresa 4i, se ha abordado el problema de conocer si un individuo ha estado en un centro ...
Cordobés Menguiano, Ana Belén
core

