We collected thermal and 3dMD facial images of 2,811 Han Chinese individuals 20–90 years old, developed the ThermoFace method to automatically process and analyze images, and then generated thermal age and disease prediction models.
Tomorrow’s digital ‘human’ creation will be based on AI learning from authentic real-world data of people recorded physically in action with the utmost 3D fidelity.
A novel 3D articulated parametric shape model learned from 3D scans of many real horses.
Preoperative and 9-month follow-up cone-beam computed tomography (CBCT) and 3dMD images were obtained, superimposed, and quantified for skeletal movements and soft tissue changes in six facial regions.
The combination of the 3dMD and CBCT technologies improves the accuracy and fitness of extra- and intra-oral soft tissue reconstruction.
The accuracy of movement recordings was excellent at all speeds (60, 30 and 15 fps), with variability in MAD values consistently being less than 1 mm. The reliability of the camera recordings was excellent at all recording speeds.
3dMD acquires dynamic 3D surface data during motion including soft tissues of the breasts to examine the complex movements.
There was a longitudinal decrease in soft tissue volume and depth difference in extraoral soft tissues in the region of implant placement after surgery up to 6 weeks. The use of a facial scanner is a promising noninvasive method to monitor 3D morphometric changes after implant surgery.
The purpose of this study was to evaluate the outcomes of a novel surgical technique using force balance reconstruction of the orbicularis oris.
Cluster analyzes of facial models of autistic patients aim to clarify whether it is possible to diagnose autism on the basis of facial features and further to stratify the autism spectrum disorder.