Embodied Hands (MANO): Modeling and Capturing Hands and Bodies Together. J Romero, D Tzionas, MJ Black.
MPI-IS build MANO and SMPL+H (2017), articulated hand and body models, with 3dMD’s real-world hand and body data.
Training AI, Wearing Tech,
and Imaging Health.

MPI-IS build MANO and SMPL+H (2017), articulated hand and body models, with 3dMD’s real-world hand and body data.
Date: November 2017. Source: Machine Vision and Applications (2017). https://doi.org/10.1007/s00138-017-0887-6. Abstract: Registering a 3D facial model onto a 2D image is important for constructing pixel-wise correspondences between different facial images. The registration is based on a 3 ×× 4 dimensional projection matrix, which is obtained from pose estimation. Conventional pose estimation approaches employ facial landmarks…
MPI-IS trains FLAME (2017), a facial shape and expression model, with 3dMD’s real-world 4D pose and expression data.
Date: October 2017 Source: PNAS | Proceedings of the National Academy of Sciences of the United States of America, doi: 10.1073/pnas.1708207114. Significance: The human face is extraordinarily variable, and the extreme similarity of the faces of identical twins indicates that most of this variability is genetically determined. We have devised an approach to increase the…
Date: October 2017. Source: Proceedings of 3DBODY.TECH 2017. 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal, Canada. Abstract: Bra fit is a common quality of life problem for women with breast reconstruction. However, there is a lack of knowledge of how the changes in breast size and shape due to…
KAIST and MPI-IS build a physics-based body model, VSMPL, with 3dMD’s real-world soft-tissue data from Dyna.
How a 60fps 3dMDbody22.u system captured Dynamic FAUST, the foundational 4D real-world human motion dataset from MPI-IS behind SMPL, FAUST, and related models, presented at CVPR 2017.
MPI-IS trains ClothCap (2017), a method for capturing and retargeting clothing in motion, with 3dMD’s 4D real-world body data.
Date: June 2017 Source: Biological Shape Analysis: Proceedings of the 4th International Symposium (ISBSA), pp 249-258. School of Dentistry, UCLA, USA, 19–22 June 2015. Abstract: Facial morphology is the result of mazy interactions between environmental and epigenetic factors that lead to the composition of multiple subunits integrated to function as a whole. In this work, we…
Date: June 2017 (Online). Source: JAMA Pediatrics, doi:10.1001/jamapediatrics.2017.0778. Question: Is there an association between different levels of prenatal alcohol exposure and child craniofacial shape at 12 months? Findings: This cohort study conducted an objective and sensitive craniofacial phenotype analysis of 415 children, which showed an association between prenatal alcohol exposure and craniofacial shape at almost…