It contains 90k 3dMD system-captured RGB images and 13k 3dMDhand scans from 263 subjects (131 male, 132 female) with diverse skin tones and hand shapes.
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.
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.
The hand at a straight neutral posture was scanned using the 3dMDhand system. Next, the hand was scanned while in a power grip at each of three wrist postures (20° of radial deviation, neutral, and 30° of ulnar deviation), along with the corresponding palmar hand cast.
How 3dMD’s 4D real-world hand data enabled Handy, Imperial College London’s 2023 model of hand shape and appearance.
MPI-IS trains SUPR (2022), a full-body, hand, head, and foot model, with 3dMD’s real-world 4D scan data, presented at ECCV 2022.
Date: April 2022. Source: arXiv, doi.org/10.48550/arxiv.2204.13662. Objective: We use our hands to interact with and to manipulate objects. Articulated objects are especially interesting since they often require the full dexterity of human hands to manipulate them. To understand, model, and synthesize such interactions, automatic and robust methods that reconstruct hands and articulated objects in 3D…
Meta Reality Labs and Imperial College London build a neural hand deformation model with 3dMD’s real-world 3DH scan data, 2021.
Date: June 2021. Source: ASME Journal of Computing and Information Science in Engineering (JCISE), 21(3): 031006. https://doi.org/10.1115/1.4049445. Research Summary: A high-fidelity digital representation of the human body is a key enabler for integrating humans into a digital twin, and the hand is a particularly challenging part of the body to model due to posture deviations…
A 3D scan database of 200 healthy subjects (100 men and 100 women) performing hand motions was gathered using a 3dMD scanner. All subjects were scanned performing a movement at a frame-rate of 7.5 fps, resulting in ±100 scans per subject. Based on those scans, a new SSM was built with the help of the artificial SSM.