Results 51 to 60 of about 4,888 (162)

A Two-Stream Method for Human Action Recognition Using Facial Action Cues

Sensors
Human action recognition (HAR) is a critical area in computer vision with wide-ranging applications, including video surveillance, healthcare monitoring, and abnormal behavior detection. Current HAR methods predominantly rely on full-body data, which can
Zhimao Lai, Yan Zhang, Xiubo Liang
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Facial Action Unit Detection using 3D Facial Landmarks

CoRR, 2020
In this paper, we propose to detect facial action units (AU) using 3D facial landmarks. Specifically, we train a 2D convolutional neural network (CNN) on 3D facial landmarks, tracked using a shape index-based statistical shape model, for binary and multi-class AU detection.
Saurabh Hinduja, Shaun J. Canavan
openaire   +2 more sources

Facial Emotion Recognition and Detection Application [PDF]

Database Systems Journal, 2023
The purpose of the present paper is to study the process of face detection and recognition, followed by the ability to detect the drowsiness state of an individual.
Ioana NAGIT, Andreea-Ramona OLTEANU, Ion LUNGU   +2 more
doaj  

Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras

Sensors
The use of event-based cameras in computer vision is a growing research direction. However, despite the existing research on face detection using the event camera, a substantial gap persists in the availability of a large dataset featuring annotations ...
Ulzhan Bissarinova, Tomiris Rakhimzhanova, Daulet Kenzhebalin, Huseyin Atakan Varol   +3 more
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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
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Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video

Computational Visual Media, 2017
We present a novel approach for automatically detecting and tracking facial landmarks across poses and expressions from in-the-wild monocular video data, e.g., YouTube videos and smartphone recordings.
Shuang Liu, Yongqiang Zhang, Xiaosong Yang, Daming Shi, Jian J. Zhang   +4 more
doaj   +1 more source

Facial Image Deformation Based on Landmark Detection

CoRR, 2019
In this work, we use facial landmarks to make the deformation for facial images more authentic. The deformation includes the expansion of eyes and the shrinking of noses, mouths, and cheeks. An advanced 106-point facial landmark detector is utilized to provide control points for deformation.
Chaoyue Song, Yugang Chen, Shulai Zhang, Bingbing Ni   +3 more
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Detecting Morphed Face Images Using Facial Landmarks [PDF]

, 2018
With the widespread deployment of automatic biometric recognition systems, some security issues have been unveiled. In particular, face recognition systems have been recently shown to be vulnerable to attacks carried out with morphed face images. Such synthetic images can be defined as the fusion of the face images of two (or more) different subjects ...
Ulrich Scherhag, Dhanesh Budhrani, Marta Gomez-Barrero, Christoph Busch 0001   +3 more
openaire   +2 more sources

Automating Manga Character Analysis: A Robust Deep Vision-Transformer Approach to Facial Landmark Detection

IEEE Access
Comics, particularly Japanese manga, are a powerful medium that blends images and text to convey ideas and encapsulate a unique cultural heritage. Going beyond mere entertainment, manga merges diverse styles and content deeply rooted in Japanese cultural
Sirawich Vachmanus, Noppanan Phinklao, Naruparn Phongsarnariyakul, Thanat Plongcharoen, Seiji Hotta, Suppawong Tuarob   +5 more
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Menuju Pengenalan Ekspresi Mikro: Pendeteksian Komponen Wajah Menggunakan Discriminative Response Map Fitting

Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018
The observations made in the study of micro-expression are to recognize and track the very subtle movements of certain facial areas and in a short time. In this study, the observation of movement is held in some areas of the face component.
Ulla Delfana Rosiani, Priska Choirina, Surya Sumpeno, Mauridhy Hery P.   +3 more
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