[HTML][HTML] Deep neural networks generate facial metrics that overcome limitations of previous methods and predict in-person attraction
AAZ Zhao, BP Zietsch - Evolution and Human Behavior, 2024 - Elsevier
Here we introduce deep neural networks (a form of artificial intelligence) as a novel method
for quantifying facial characteristics such as averageness, masculinity, and similarity …
for quantifying facial characteristics such as averageness, masculinity, and similarity …
[HTML][HTML] Exploring the potential of machine learning models to predict nasal measurements through facial landmarks
RA Ramachandran, M Koseoglu, EI Cinka… - The Journal of Prosthetic …, 2025 - Elsevier
Statement of problem Information on predicting the measurements of the nose from selected
facial landmarks to assist in maxillofacial prosthodontics is lacking. Purpose The objective of …
facial landmarks to assist in maxillofacial prosthodontics is lacking. Purpose The objective of …
A machine learning based approach to standardizing tooth color and shade recommendations
Q Li, D Chen, H Wang, J Shen - The Journal of Prosthetic Dentistry, 2024 - Elsevier
Statement of problem Achieving the precise reproduction of tooth color is pivotal in esthetic
restorations. However, existing visual and instrumental shade matching methods, each with …
restorations. However, existing visual and instrumental shade matching methods, each with …
Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM)
Face landmarking is a primary goal of many projects that lead to face-preparing activities,
like biometric recognition and mental state comprehension. Despite the inherent diversity of …
like biometric recognition and mental state comprehension. Despite the inherent diversity of …