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.

Deformation of palmar hand measurements in a power grip by wrist ulnar/radial deviation. H Jung, W Lee, S Moon, H You.

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.

Handy: Towards a high fidelity 3D hand shape and appearance model. R Potamias, S Ploumpis, S Moschoglou, V Triantafyllou and S Zafeiriou.

We collected a large dataset comprising of textured 3D hand scans. Our hand data were captured during a special exhibition at the Science Museum, London. The capturing apparatus utilized for this task was a 3dMDhand5 system, which is an active stereo photogrammetry software-driven optics-based system, which produces high quality dense meshes.

Articulated Objects in Free-form Hand Interaction. Z Fan, O Taheri, D Tzionas, M Kocabas, M Kaufmann, MJ Black, O Hilliges.

Introducing ARCTIC – the first dataset of free-form interactions of hands and articulated objects. ARCTIC has 1.2M images paired with accurate 3D meshes for both hands and for objects that move and deform over time. The dataset also provides hand-object contact information.

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image. G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AA Osman, D Tzionas, MJ Black.

Date: June 2019. Source: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA. Proceedings Page(s): 10967-10977. Abstract: To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image. To achieve this, we…