Results 41 to 50 of about 14,796 (293)

Gradual training of cascaded shape regression for facial landmark localization and pose estimation [PDF]

open access: yes, 2013
Facial landmarks play an important role in face recognition. They serve different steps of the recognition such as pose estimation, face alignment, and local feature extraction.
Dian Tjondronegoro   +5 more
core   +1 more source

Emotionally Controllable Talking Face Generation from an Arbitrary Emotional Portrait

open access: yesApplied Sciences, 2022
With the continuous development of cross-modality generation, audio-driven talking face generation has made substantial advances in terms of speech content and mouth shape, but existing research on talking face emotion generation is still relatively ...
Zikang Zhao   +4 more
doaj   +1 more source

Quantification of three-dimensional facial asymmetry for diagnosis and postoperative evaluation of orthognathic surgery

open access: yesMaxillofacial Plastic and Reconstructive Surgery, 2020
Background To evaluate the facial asymmetry, three-dimensional computed tomography (3D-CT) has been used widely. This study proposed a method to quantify facial asymmetry based on 3D-CT.
Hua-Lian Cao   +5 more
doaj   +1 more source

The deep spatiotemporal network with dual-flow fusion for video-oriented facial expression recognition

open access: yesDigital Communications and Networks, 2023
The video-oriented facial expression recognition has always been an important issue in emotion perception. At present, the key challenge in most existing methods is how to effectively extract robust features to characterize facial appearance and geometry
Chenquan Gan   +4 more
doaj   +1 more source

FLSNet: Robust Facial Landmark Semantic Segmentation

open access: yesIEEE Access, 2020
The human face is one of the most viewed visual objects in a person's life and is used for identifying a person through facial landmarks, which includes the eyes, nose, mouth, and ears that make up a face.
Hyungjoon Kim   +3 more
doaj   +1 more source

Multi-spectral Facial Landmark Detection [PDF]

open access: yes2020 IEEE International Workshop on Information Forensics and Security (WIFS), 2020
Thermal face image analysis is favorable for certain circumstances. For example, illumination-sensitive applications, like nighttime surveillance; and privacy-preserving demanded access control. However, the inadequate study on thermal face image analysis calls for attention in responding to the industry requirements.
Jin Keong   +4 more
openaire   +2 more sources

Augmented EMTCNN: A Fast and Accurate Facial Landmark Detection Network

open access: yesApplied Sciences, 2020
Facial landmarks represent prominent feature points on the face that can be used as anchor points in many face-related tasks. So far, a lot of research has been done with the aim of achieving efficient extraction of landmarks from facial images ...
Hyeon-Woo Kim   +3 more
doaj   +1 more source

Failure Detection for Facial Landmark Detectors [PDF]

open access: yes, 2017
Most face applications depend heavily on the accuracy of the face and facial landmarks detectors employed. Prediction of attributes such as gender, age, and identity usually completely fail when the faces are badly aligned due to inaccurate facial landmark detection.
Andreas Steger, Radu Timofte
openaire   +1 more source

Automatic Landmark Placement for Large 3D Facial Image Dataset [PDF]

open access: yes, 2019
Facial landmark placement is a key step in many biomedical and biometrics applications. This paper presents a computational method that efficiently performs automatic 3D facial landmark placement based on training images containing manually placed ...
Susan Walsh   +11 more
core   +2 more sources

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang   +23 more
wiley   +1 more source

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