Laboratory Methods for a Pilot Study of the U.S. YouthShape Survey of Child and Youth Anthropometry and Physical Capability. MLH Jones, SM Ebert, CS Miller, BKD Park, H Jung, A Wood, LE Robinson, MP Reed.

High-resolution head and face surface data were gathered in a 3dMD system. Head scan data with a range of facial expressions to capture the associated variation in face shape is essential for the design of protective helmets and other head-borne equipment. High-resolution hand size and shape surface data were also recorded to include standardized and functional hand poses, including a flat hand, fist, and various grasps.

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.

Nose Shape Categorization and Its Impact on Design in Head Mounted Displays. TM Schnieders, K Bredenkamp, S La Rosa.

This study with 1736 subjects evaluates how Martin and Saller’s nasal index correlates to a more comprehensive exploration of nose shape variables using Principal component analysis (PCA) and nonparametric bivariate correlation analysis in the context of the design of head-mounted displays (HMDs).

Sagittal Craniosynostosis: Comparing Surgical Techniques Using 3D Photogrammetry. T Abdel-Alim, M Kurniawan, I Mathijssen, M Dremmen, C Dirven, W Niessen, G Roshchupkin, ML van Veelen.

The findings suggest that until age 6, there are no significant differences… therefore, efforts should be made to ensure early diagnosis so that minimally invasive surgery is a viable treatment option.