Results 51 to 60 of about 3,111,510 (266)

Automated Detection of Cat Facial Landmarks

open access: yesInternational Journal of Computer Vision
AbstractThe field of animal affective computing is rapidly emerging, and analysis of facial expressions is a crucial aspect. One of the most significant challenges that researchers in the field currently face is the scarcity of high-quality, comprehensive datasets that allow the development of models for facial expressions analysis. One of the possible
George Martvel   +2 more
openaire   +3 more sources

Facial Landmark Detection Experiment

open access: yesJournal of Physics: Conference Series, 2020
Abstract Facial landmark detection or face alignment is an important problem in computer vision. Different types of methods have been proposed to target this problem, with their advantages and disadvan- tages. This paper classified the past methods into three categories, briefly compared them, then attempted to reimplementing part of a ...
openaire   +1 more source

Engineering Pluripotent Stem Cells‐Derived Inner Ear Organoids With Enhanced Maturation and Reproducibility by Micro‐Topographical Cues

open access: yesAdvanced Materials, EarlyView.
Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma   +15 more
wiley   +1 more source

Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement

open access: yesSensors
Driver drowsiness remains a critical factor in road safety, necessitating the development of robust detection methodologies. This study presents a dual-framework approach that integrates a convolutional neural network (CNN) and a facial landmark analysis
Farkhod Akhmedov   +3 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
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

3D craniofacial reconstruction framework using elastic surface deformation based on automatic landmark positioning

open access: yesIET Image Processing, 2023
Computer‐aided craniofacial reconstruction (CFR) is a process that aims to estimate facial impressions based on skull remains. It mimics the conventional method with a conceptual model‐based framework.
Putu Hendra Suputra   +4 more
doaj   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

open access: yesAdvanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

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 ...
George Martvel   +9 more
doaj   +1 more source

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

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   +1 more source

Facial Landmark Detection With Learnable Connectivity Graph Convolutional Network

open access: yesIEEE Access, 2022
The conventional heatmap regression with deep networks has become one of the mainstream approaches for landmark detection. Despite their success, these methods do not exploit the overall landmarks structure.
Le Quan Nguyen   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy