AIMC Topic: Face

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Secure facial biometric authentication in smart cities using multimodal methodology.

Scientific reports
In recent times, in modern smart city environments, securing and maintaining facial biometric security is crucial for preventing unauthorized access to citizen data and safeguarding it from spoofing. This research proposes a multimodal deep learning ...

Low-resolution driver face recognition based on super-resolution and triplet loss.

Scientific reports
Face recognition based on deep neural networks has achieved great success, but its application in resource-constrained and unconstrained scenarios, such as vehicle images from traffic monitoring systems, remains challenging. These scenarios involve c...

A novel approach of developing machine learning based models for the prediction of facial dimensions from dental parameters.

Scientific reports
Personal identification of an individual has always been a major concern in forensic science. Reconstruction of the facial profile is considered as one of the final stages in the process of identification. Nevertheless, recent advancements in artific...

Face2Bone explainable AI model predicts osteoporosis risk from facial images in proof of concept study.

Scientific reports
OBJECTIVES: BMI and age are associated with the risk of osteoporosis (OP). The dynamic facial aging process involves changes in skin, muscle, fat, and facial bone structures, with facial skeletal aging affecting facial contours through volumetric red...

Deepfake video deception detection using visual attention-based method.

Scientific reports
The key objective of producing artificial digital data is to closely mimic real data. However, because of improper use by malevolent users, the legitimacy of this kind of digital content may be under threat in society. Deepfake techniques, which repl...

Deep learning-based automatic facial symmetry scoring in peripheral facial palsy.

Scientific reports
Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes stan...

A comprehensive survey of deep face verification systems adversarial attacks and defense strategies.

Scientific reports
Face Verification (FV) systems have exhibited remarkable performance in verification tasks and have consequently garnered extensive adoption across various applications, from identity duplication to authentication in mobile payments. However, the sur...

Real-time facial recognition via multitask learning on raspberry Pi.

Scientific reports
This paper investigates the feasibility of multi-task learning (MTL) for facial recognition on the Raspberry Pi, a low-cost single-board computer, demonstrating its ability to perform complex deep learning tasks in real time. Using MobileNet, MobileN...

AI-Based Facial Analysis vs Self-Report: A Pilot Study Using Insights From Pre-Procedural Psychological Tests.

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND Aesthetic procedures aligning with societal beauty standards are gaining popularity, often driven by unrealistic beauty ideals. However, these treatments frequently disappoint individuals with low self-esteem and distorted self-images. AI ...

Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm.

Scientific reports
Athletic person's fatigue and stamina prediction plays a vital role for improving the overall performance in the sports. Identification of the athletic person's facial expression on track and field using image, is still a challenge task. The complex ...