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).
Three-dimensional (3D) photography allows for the creation of surface models without the need for radiation and has been validated as reliable and equivalent to CT for calvarial measurements.
This study investigates whether surface topography measurements of body volume difference and torso volume difference between maximum inhale and exhale correlate to values determined on pulmonary function tests.
In this study, we conducted a large-scale multi-ethnic meta-analysis of Genome-Wide Association Study (GWAS), including 9674 East Asians and 10,115 Europeans, quantitatively assessing 78 facial traits using 3D facial images.
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.
This data-driven method mitigates the risk of human biases in therapeutic evaluations and effectively transitions from static 2D images to dynamic 4D assessments of facial palsy state.
36 patients (25-72 years, 8 male, 28 female) with unilateral chronic synkinetic facial palsy, which is presumed to be a significant factor affecting classification, were recorded three times using the 30Hz 3dMDface system.
We make a step towards automatic realistic garment design and propose Design2Cloth, a high fidelity 3D generative model trained on a real world dataset. The scans of a total of 2010 distinct subjects spanning different ages, body types and ethnicities were captured using a 3dMDbody System.
A deep learning-based approach for automated landmark extraction from 3dMD facial photographs was developed and its precision was evaluated. The results showed high precision and consistency in landmark annotation, comparable to manual and semi-automatic annotation methods.