SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis. C Görg, C Elkhill, J Chaij, K Royalty, PD Nguyen, B French, AC Guerrero, AR Porras.

SHAPE reads in a patient’s 3D photogram, automatically places a set of craniofacial landmarks, allows for their manual confirmation and correction, and automatically computes both a series of standard clinical craniofacial measurements and machine learning-based metrics of head development prior to building an analysis report for upload to the patient’s electronic medical record.

Photogrammetry is a useful tool to assess the aesthetic outcome after excision of skin tumors of the nose and reconstruction. AA Caretto, G Tarantino, C Grippaudo, E Candida, L Tagliaferri, K Peris, M Servillo, R Fortunato, R Bracaglia, S Gentileschi.

We enrolled 33 patients, comprising 24 men and 9 women, who were affected by cutaneous neoplasm on the nose and underwent excision followed by reconstruction with a flap. For each patient, we performed facial scans before and after surgery.

A new method to orient a 3-dimensional facial model to natural head position: A preliminary report on accuracy and reproducibility, AA Yin, Y Dong, X Zhang, BQ Song, SZ Bai.

To establish and validate a novel method to orient a 3-dimensional (3D) facial model to natural head position (NHP) in a stereophotogrammetric system using a 2-dimensional frontal full-face photograph of NHP.

Thermal facial image analyses reveal quantitative hallmarks of aging and metabolic diseases. Z Yu, Y Zhou, K Mao, B Pang, K Wang, T Jin, H Zheng, H Zhai, Y Wang, X Xu, H Liu, Y Wang, JDJ Han.

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.