A total of 30 patients were imaged with a NewTom CBCT and 3Shape intraoral scanner. Natural head position was recorded with a 3dMD surface imaging system combined with and a SaiWei laser level. Skeletal, dental, and textured surface morphologies were superimposed based the laser level markers.
University of Naples Federico II and Aarhus University researchers used 3dMD facial scans to validate new non-ionizing reference systems as a reliable alternative to CBCT for tracking soft tissue change.
As the first step in customizing the prototype, a set of 21 facial anthropometric landmarks and 15 dimensions was selected for the design. The faces of three members of the research team were scanned using a 3dMD digital scanning system. From these scans, algorithms were developed to create digital representations of the contours of the RPD frame.
University of Florence builds Florence 3DMRE (2023), a cross-resolution facial dataset, with 3dMD’s real-world high-resolution face scans.
At the age of nine and thirteen, three-dimensional (3D) facial images were taken of the children using a 3dMDface System (3dMD LLC, USA) photogrammetric device by trained photographers.
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University of Florence builds Florence 4D (2023), a dynamic facial expression dataset, with 3dMD’s real-world 3D face scans.
Imperial College London captures real-world MimicMe, a 4,700-subject 4D facial expression database, with 3dMD, presented at ECCV 2022.
This study aimed to investigate the 3-dimensional (3D) facial morphology of children with skeletal Class II structure with different breathing patterns. Cheng et al., International Dental Journal… DOI 10.1016/j.identj.2022.09.002. Captured with the 3dMDface system.