ஜர்னல் ஆஃப் கிளினிக்கல் & எக்ஸ்பெரிமென்டல் டெர்மட்டாலஜி ரிசர்ச்
திறந்த அணுகல்

சுருக்கம்

The Accuracy of Facial Landmark Models in Different Facial Expressions

Weng Yu-Ching1,2,3*, Jian Jhen-Yu4, Tsuo-Hung Lan5,6,7,8,9

In this study, we tested the accuracy of three distinct facial landmark models-68-point, 83-point, and 106-point-on the same individual exhibiting different facial expressions. Our findings highlight that the 83-point model, which is inspired by the anatomical structure of facial retaining ligaments, significantly outperforms the other models in terms of accuracy. Unlike the 68-point and 106-point models, the 83-point model maintains consistent interpretation and precise landmark positioning, regardless of changes in facial expressions. This robustness makes the 83-point model particularly valuable for applications requiring reliable facial analysis. The implications of our study are far-reaching. The 83-point model's ability to provide consistent and precise facial landmark identification can greatly enhance clinical and practical outcomes in several areas. In disease management, it can improve the accuracy of documenting and assessing facial lesions, leading to better monitoring of disease progression and treatment efficacy. In the cosmetic industry, the model can be used to develop more personalized and effective beauty treatments and recommendations based on precise facial feature analysis. Additionally, the model's potential in telemedicine is significant, as it can facilitate remote healthcare by enabling accurate and consistent facial assessments, thus improving patient monitoring and teleconsultations. Overall, the 83-point facial landmark model offers a substantial advancement in facial analysis technology, potential enhanced precision and reliability across various applications.