Results 61 to 70 of about 982 (204)

Facial Expression Recognition Menggunakan Algoritma Mtcnn (Multi-Task Cascaded Convolutional Neural Network) Dan Vgg16

, 2022
Ekspresi wajah merupakan bentuk atau respon alami dari manusia untuk menggambarkan perasaan yang sedang dirasakan oleh manusia saat melakukan interaksi pada suatu hal.
Adicius, Enrico
core   +1 more source

Practical Evaluation and Performance Analysis for Deepfake Detection Using Advanced AI Models

Engineering Proceedings
In the 21st century of digital technology, deepfakes are increasingly becoming a serious issue across the globe. We have many machine learning and deep learning algorithms that are meant to serve humanity, but nowadays, these algorithms are the main ...
Bikash Ranjan Barik, Ankush Nayak, Adyasha Biswal, Neelamadhab Padhy   +3 more
doaj   +1 more source

An integrated approach for mental health assessment using emotion analysis and scales

Healthcare Technology Letters, Volume 12, Issue 1, January/December 2025.
For leading a healthy life, a person's mental state is critical. Depression is a prominent cause of mental illness, which could primarily increase early death. It's possible that it's the root of suicidal ideation, and it causes severe impairment in daily life as a result. By detecting human face traits, artificial intelligence has cleared the road for
N. Shanthi, Albert Alexander Stonier, Anli Sherine, T. Devaraju, S. Abinash, R. Ajay, V. Arul Prasath, Vivekananda Ganji   +7 more
wiley   +1 more source

A single‐model multi‐task method for face recognition and face attribute recognition in internet of things and visual computing

IET Image Processing, Volume 19, Issue 1, January/December 2025.
Abstract The use of the internet of things (IoT) is steadily increasing in a wide range of applications. Integration of IoT, computer vision, and artificial intelligence can improve people's daily life in various domains such as smart homes, smart cities, and smart industries.
Jin Lu, Bo Wu
wiley   +1 more source

Person Re-Identification Net of Spindle Net Fusing Facial Feature

Xibei Gongye Daxue Xuebao, 2019
In the field of person re-identification, the extraction of pedestrian features is mainly focused on the extraction of features from the whole pedestrian or limb torso, and the facial features are less used.

doaj   +1 more source

Pose and Illumination Invariant Face Recognition in Video via Motion Analysis and Texture Feature Optimization

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper presents a face recognition approach for video surveillance using a Fuzzy‐ARTMAP neural network, evaluated under varying pose and illumination conditions. It applies PCA and LDA for dimensionality reduction and demonstrates improved recognition performance with combined texture features (pixel intensity, LPQ3, and LBP) on ChokePoint and ...
Basharat Hussain, Ayyaz Hussain, Muhammad Islam   +2 more
wiley   +1 more source

Geometric Feature Enhancement for Robust Facial Landmark Detection in Makeup Paper Templates

Applied Sciences
Traditional scoring of makeup face templates in beauty skill assessments heavily relies on manual judgment, leading to inconsistencies and subjective bias.
Cheng Chang, Yong-Yi Fanjiang, Chi-Huang Hung   +2 more
doaj   +1 more source

Development of a Face Mask Detection and Masked Facial Recognition Model Based on a Hybrid Convolutional Neural Network

IET Image Processing, Volume 19, Issue 1, January/December 2025.
The rapid growth of facial recognition technology has faced hindrances due to the COVID‐19 pandemic, where mandatory face mask usage obscured facial features, challenging existing authentication methods. Despite advancements in face mask detection and recognition models real time assessments remain challenging due to factors like poor lighting, varied ...
Chezlyn Pillay, Seena Joseph, Brett van Niekerk   +2 more
wiley   +1 more source

Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning

IET Wireless Sensor Systems, Volume 15, Issue 1, January/December 2025.
This review article presents a comprehensive examination of contactless health monitoring techniques utilising machine learning (ML) and deep learning (DL) algorithms for the assessment of critical vital signs. ABSTRACT Vital signs are crucial indicators of an individual's physiological well‐being and represent one of the primary evaluations conducted ...
Alaa Hajr, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari   +3 more
wiley   +1 more source

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.
Santosa, Yonathan Purbo, The, Victor
core   +1 more source