Results 21 to 30 of about 377,497 (282)

Facial muscle movements in patients with Parkinson's disease undergoing phonation tests

open access: yesFrontiers in Neurology, 2022
PurposeParkinson's disease (PD) is a serious neurodegenerative disease affecting the elderly. In general, the locomotion deficit, which seriously affects the daily life of patients with PD, usually occurs at a later stage. The mask face symptom meanwhile
Fan Xu   +9 more
doaj   +1 more source

Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks [PDF]

open access: yesPeerJ Computer Science, 2022
Blink detection is an important technique in a variety of settings, including facial movement analysis and signal processing. However, automatic blink detection is very challenging because of the blink rate. This research work proposed a real-time method
Christine Dewi   +3 more
doaj   +2 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   +1 more source

HafaNet: An Efficient Coarse-to-Fine Facial Landmark Detection Network

open access: yesIEEE Access, 2020
Facial landmark detection can be applied in various facial analysis tasks. It is a challenging problem due to the various poses and high real-time requirements.
Shaun Zheng   +3 more
doaj   +1 more source

3D Facial Landmark Tracking and Facial Expression Recognition [PDF]

open access: yesJournal of information and communication convergence engineering, 2013
In this paper, we address the challenging computer vision problem of obtaining a reliable facial expression analysis from a naturally interacting person. We propose a system that combines a 3D generic face model, 3D head tracking, and 2D tracker to track facial landmarks and recognize expressions.
GĂ©rard G. Medioni   +4 more
openaire   +2 more sources

Joint head pose and facial landmark regression from depth images

open access: yesComputational Visual Media, 2017
This paper presents a joint head pose and facial landmark regression method with input from depth images for realtime application. Our main contributions are: firstly, a joint optimization method to estimate head pose and facial landmarks, i.e., the pose
Jie Wang   +3 more
doaj   +1 more source

Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images

open access: yesSensors, 2020
3D facial landmarks are known to be diagnostically relevant biometrics for many genetic syndromes. The objective of this study was to extend a state-of-the-art image-based 2D facial landmarking algorithm for the challenging task of 3D landmark ...
Jordan J. Bannister   +9 more
doaj   +1 more source

Facial Landmark Correlation Analysis

open access: yesCoRR, 2019
We present a facial landmark position correlation analysis as well as its applications. Although numerous facial landmark detection methods have been presented in the literature, few of them explicitly take into account the inherent relationship among landmarks.
Yongzhe Yan   +6 more
openaire   +3 more sources

Development of Landmark-based Facial Asymmetry Evaluation [PDF]

open access: yes, 2023
This paper presents a novel development of a real-time evaluation system for facial asymmetry. Using this tool, it is expected possibly to assess the severity of facial asymmetry based on local and global comparisons of facial components. While the local
Matuszewski, Bogdan, Quan, Wei, Ye, Ziyu
core   +1 more source

Compensating inaccurate annotations to train 3D facial landmark localisation models [PDF]

open access: yes, 2013
In this paper we investigate the impact of inconsistency in manual annotations when they are used to train automatic models for 3D facial landmark localization. We start by showing that it is possible to objectively measure the consistency of annotations
Sukno, Federico M.   +2 more
core   +2 more sources

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