Diagnostics, Volume 13, Issue 11
2023 June-1 - 157 articles
Cover Story: Three-dimensional facial soft tissue landmark prediction plays a crucial role in dentistry. However, existing methods, such as those based on geometric information and machine learning, suffer from a limited number of landmark predictions and low accuracy. To address these issues, this paper presents a novel method based on object detection and deep learning. This method utilizes object detection to locate facial organs, such as the eyes, nose, lips, chin, and face, and employs machine learning algorithms to predict landmarks. As a result, this method achieves an unprecedented prediction of 32 landmarks with a superior precision of 2.62 ± 2.39mm. This groundbreaking technique enhances plastic surgery, facial analysis, animation, virtual reality, and biometric identification. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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