Results 41 to 50 of about 4,888 (162)

Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement

Sensors
Driver drowsiness remains a critical factor in road safety, necessitating the development of robust detection methodologies. This study presents a dual-framework approach that integrates a convolutional neural network (CNN) and a facial landmark analysis
Farkhod Akhmedov, Halimjon Khujamatov, Mirjamol Abdullaev, Heung-Seok Jeon   +3 more
doaj   +1 more source

3D craniofacial reconstruction framework using elastic surface deformation based on automatic landmark positioning

IET Image Processing, 2023
Computer‐aided craniofacial reconstruction (CFR) is a process that aims to estimate facial impressions based on skull remains. It mimics the conventional method with a conceptual model‐based framework.
Putu Hendra Suputra, Anggraini Dwi Sensusiati, Myrtati Dyah Artaria, Eko Mulyanto Yuniarno, I Ketut Eddy Purnama   +4 more
doaj   +1 more source

Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition

Scientific Reports, 2023
This paper introduces a real-time Driver Monitoring System (DMS) designed to monitor driver behavior while driving, employing facial landmark estimation-based behavior recognition.
Dohun Kim, Hyukjin Park, Tonghyun Kim, Wonjong Kim, Joonki Paik   +4 more
doaj   +1 more source

Facial Landmark Detection With Learnable Connectivity Graph Convolutional Network

IEEE Access, 2022
The conventional heatmap regression with deep networks has become one of the mainstream approaches for landmark detection. Despite their success, these methods do not exploit the overall landmarks structure.
Le Quan Nguyen, Van Dung Pham, Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon   +6 more
doaj   +1 more source

Automated landmark-based cat facial analysis and its applications

Frontiers in Veterinary Science
Facial landmarks, widely studied in human affective computing, are beginning to gain interest in the animal domain. Specifically, landmark-based geometric morphometric methods have been used to objectively assess facial expressions in cats, focusing on ...
George Martvel, Teddy Lazebnik, Marcelo Feighelstein, Sebastian Meller, Ilan Shimshoni, Lauren Finka, Stelio P. L. Luna, Daniel S. Mills, Holger A. Volk, Anna Zamansky   +9 more
doaj   +1 more source

Automatic Facial Palsy Detection—From Mathematical Modeling to Deep Learning

Axioms, 2023
Automated solutions for medical diagnosis based on computer vision form an emerging field of science aiming to enhance diagnosis and early disease detection. The detection and quantification of facial asymmetries enable facial palsy evaluation.
Eleni Vrochidou, Vladan Papić, Theofanis Kalampokas, George A. Papakostas   +3 more
doaj   +1 more source

Detecting Essential Landmarks Directly in Thermal Images for Remote Body Temperature and Respiratory Rate Measurement With a Two-Phase System

IEEE Access, 2022
Infrared thermographs (IRTs, also called thermal cameras) have been used to remotely measure elevated body temperature (BT) and respiratory rate (RR) during infectious disease outbreaks, such as COVID-19.
Zachary Mcbride Lazri, Qiang Zhu, Mingliang Chen, Min Wu, Quanzeng Wang   +4 more
doaj   +1 more source

Event-Based Multi-Task Facial Landmark and Blink Detection

IEEE Access
Facial landmark detection and blink detection are essential tasks in computer vision, with significant applications in behavioral analysis and human-computer interaction.
Paul Kielty, Cian Ryan, Waseem Shariff, Joe Lemley, Peter Corcoran   +4 more
doaj   +1 more source

Analysis of the Use of MTCNN and Landmark Technology to Improve the Accuracy of Facial Recognition on Official Documents

Journal of Applied Informatics and Computing
A face recognition system consists of two stages: face detection and face recognition. Detection of features such as eyes and mouth is important in facial image processing, especially for official documents such as identity cards.
Ferri Rama Chandra, Hajra Rasmita Ngemba, Odai Amer Hamid, Nouval Trezandy Lapatta, Syaiful Hendra, Deny Wiria Nugraha, Syahrullah Syahrullah   +6 more
doaj   +1 more source

Robust facial landmark detection by probability‐guided hourglass network

IET Image Processing, 2023
The absence of local features and global shape constraints severely limits the performance of the hourglass network for facial landmark detection in unconstrained environments. Moreover, diverse feature types and scales may result in low accuracy.
Jingyan Fan, Jiuzhen Liang, Hao Liu, Zhan Huan, Zhenjie Hou, Xinwen Zhou   +5 more
doaj   +1 more source