Results 41 to 50 of about 17,577 (264)
Fast Localization of Facial Landmark Points [PDF]
Localization of salient facial landmark points, such as eye corners or the tip of the nose, is still considered a challenging computer vision problem despite recent efforts. This is especially evident in unconstrained environments, i.e., in the presence of background clutter and large head pose variations.
Nenad Markus +4 more
openaire +3 more sources
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
BACKGROUND:This study aimed to evaluate the feasibility of a new biplanar low-dose X-ray device for facial skeletal imaging. METHODS:We evaluated 48 biplanar radiographs from 12 patients (posteroanterior/lateral), originally taken for a scoliosis ...
Britt-Isabelle Berg +4 more
doaj +1 more source
An NIR‐responsive transdermal hydrogel integrating apple EV nanocargo, berberine, piperine, HOFs, and graphene oxide enables localized osteoarthritis modulation. The platform supports enhanced transdermal delivery together with mild hyperthermia‐associated and redox‐related responses, leading to reduced inflammation and oxidative stress, improved ...
Yu‐Wen Tseng +9 more
wiley +1 more source
Non-frontal facial expression recognition based on salient facial patches
Methods using salient facial patches (SFPs) play a significant role in research on facial expression recognition. However, most SFP methods use only frontal face images or videos for recognition, and they do not consider head position variations.
Bin Jiang +4 more
doaj +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Objective This study aims to develop a personalized automated system for annotating three-dimensional (3D) facial soft tissue landmarks utilizing deep learning and computer vision. By comparing the results of automated annotations with manual annotations,
Yongwei Wu +8 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Facial asymmetry of the hard and soft tissues in skeletal Class I, II, and III patients
To investigate and compare the facial asymmetry (hard and soft tissues) among skeletal Class I, II, and III patients. A total of 221 subjects, including skeletal Class I (n = 80), skeletal Class II (n = 75), and skeletal Class III (n = 66), were included
Jialing Li +6 more
doaj +1 more source
A Depression Recognition Method Based on the Alteration of Video Temporal Angle Features
In recent years, significant progress has been made in the auxiliary diagnosis system for depression. However, most of the research has focused on combining features from multiple modes to enhance classification accuracy.
Zhiqiang Ding +4 more
doaj +1 more source

