An Automated Method of 3D Facial Soft Tissue Landmark Prediction Based on Object Detection and Deep Learning
Yuchen Zhang,
Yifei Xu,
Jiamin Zhao
et al.
Abstract:Background: Three-dimensional facial soft tissue landmark prediction is an important tool in dentistry, for which several methods have been developed in recent years, including a deep learning algorithm which relies on converting 3D models into 2D maps, which results in the loss of information and precision. Methods: This study proposes a neural network architecture capable of directly predicting landmarks from a 3D facial soft tissue model. Firstly, the range of each organ is obtained by an object detection n… Show more
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