A system for quantifying facial symmetry from 3D contour maps based on transfer learning and fast R-CNN

Physicians spend much time observing the facial symmetry of patients and collecting various data to arrive at an accurate clinical judgment. This study presents a transfer learning method for evaluating the degree of facial symmetry. The contour map of a face is used as training data, and the traini...

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Veröffentlicht in:	The Journal of supercomputing 2022-09, Vol.78 (14), p.15953-15973
Hauptverfasser:	Lin, Hsiu-Hsia, Zhang, Tianyi, Wang, Yu-Chieh, Yang, Chao-Tung, Lo, Lun-Jou, Liao, Chun-Hao, Kuang, Shih-Ku
Format:	Artikel
Sprache:	eng
Schlagworte:	Compilers Computer Science Contours Interpreters Learning Medical personnel Patients Physicians Prediction models Processor Architectures Programming Languages Symmetry Training
Online-Zugang:	Volltext
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