Fully automated landmarking and facial segmentation on 3D photographs
Bo Berends,
Freek Bielevelt,
Ruud Schreurs
et al.
Abstract:Three-dimensional facial stereophotogrammetry provides a detailed representation of craniofacial soft tissue without the use of ionizing radiation. While manual annotation of landmarks serves as the current gold standard for cephalometric analysis, it is a time-consuming process and is prone to human error. The aim in this study was to develop and evaluate an automated cephalometric annotation method using a deep learning-based approach.
Ten landmarks were manually annotated on 2897 3D facial photographs. The … Show more
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