Results 1 to 10 of about 12,392 (162)

Impact of Facial Landmark Localization on Facial Expression Recognition [PDF]

open access: yesIEEE Transactions on Affective Computing, 2023
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks? In this paper, the focus is put on facial expression recognition (FER), where facial landmarks are used for face registration ...
Ioan Marius Bilaşco   +2 more
exaly   +6 more sources

Facial Landmark Detection: A Literature Survey [PDF]

open access: yesInternational Journal of Computer Vision, 2018
The locations of the fiducial facial landmark points around facial components and facial contour capture the rigid and non-rigid facial deformations due to head movements and facial expressions. They are hence important for various facial analysis tasks.
Qiang Ji, Yue Wu
exaly   +3 more sources

A Review of Facial Landmark Extraction in 2D Images and Videos Using Deep Learning

open access: yesBig Data and Cognitive Computing, 2019
The task of facial landmark extraction is fundamental in several applications which involve facial analysis, such as facial expression analysis, identity and face recognition, facial animation, and 3D face reconstruction.
Matteo Bodini, Bodini Matteo
exaly   +3 more sources

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

open access: yesScientific 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   +4 more
doaj   +2 more sources

A Lightweight Vision-Based Emotion Sensing Framework for Assistive Healthcare Robotics [PDF]

open access: yesSensors
Facial expression recognition (FER) for assistive and telepresence robotics remains challenging under resource-constrained conditions because landmark normalization is often unstable, many datasets have limited variability, and full facial landmark sets ...
Hosam Zolfonoon   +2 more
doaj   +2 more sources

Automated landmark-based cat facial analysis and its applications

open access: yesFrontiers 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 ...
Stelio Luna   +2 more
exaly   +3 more sources

Fast Facial Landmark Detection and Applications: A Survey

open access: yesJournal of Computer Science and Technology, 2022
Dense facial landmark detection is a key element of face processing pipeline. In this paper we survey and analyze modern neural-network-based facial landmark detection algorithms, focus on approaches that have led to a significant increase in quality ...
Kostiantyn Khabarlak, Larysa Koriashkina
doaj   +4 more sources

Feature fusion for facial landmark detection

open access: yesPattern Recognition, 2014
Abstract Facial landmark detection is a crucial first step in facial analysis for biometrics and numerous other applications. However, it has proved to be a very challenging task due to the numerous sources of variation in 2D and 3D facial data.
Ioannis A Kakadiaris   +2 more
exaly   +3 more sources

HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations

open access: yesIEEE Access, 2023
Facial landmark detection is an essential task in face-processing techniques. Traditional methods, however, require expensive pixel-level labels. Semi-supervised facial landmark detection has been explored as an alternative, but previous approaches only ...
Seoungyoon Kang   +3 more
doaj   +1 more source

Design of a Facial Landmark Detection System Using a Dynamic Optical Flow Approach

open access: yesIEEE Access, 2021
Many facial landmark methods based on convolutional neural networks (CNN) have been proposed to achieve favorable detection results. However, the instability landmarks that occur in video frames due to CNNs are extremely sensitive to input image noise ...
Bing-Fei Wu, Bo-Rui Chen, Chun-Fei Hsu
doaj   +1 more source

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