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.

Learning Multi-human Optical Flow. A Ranjan, DT Hoffmann, D Tzionas et al.

Date: January 2020. Source: International Journal of Computer Vision 128, 873–890 (2020). https://doi.org/10.1007/s11263-019-01279-w. Abstract: The optical flow of humans is well known to be useful for the analysis of human action. Recent optical flow methods focus on training deep networks to approach the problem. However, the training data used by them does not cover the…