Learning a Model of Facial Shape and Expression from 4D Scans. T Li, T Bolkart, MJ Black, H Li, J Romero.
MPI-IS trains FLAME (2017), a facial shape and expression model, with 3dMD’s real-world 4D pose and expression data.
Genetics of the human face: Identification of large-effect single gene variants. DJM Crouch, B Winney, WP Koppen, WJ Christmas, K Hutnik, T Day, D Meena, A Boumertit, P Hysi, A Nessa, TD Spector, J Kittler, WF Bodmer.
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…
A 3D Morphable Model of Craniofacial Shape and Texture Variation. H Dai, N Pears, W Smith, C Duncan.
University of York and Alder Hey use 3dMD’s real-world Headspace dataset to build the Liverpool-York Head Model (LYHM), the first public 3D morphable model of the full human head.
Correspondence of Breast Measurements for Bra Design After Reconstruction Surgery. KM NICKLAUS, J CHU, C LIU, GP REECE, FA MERCHANT, MC FINGERET, MK MARKEY.
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…
Data-Driven Physics for Human Soft Tissue Animation. M Kim, G Pons-Moll, S Pujades, S Bang, J Kim, MJ Black, SH Lee.
KAIST and MPI-IS build a physics-based body model, VSMPL, with 3dMD’s real-world soft-tissue data from Dyna.
Dynamic FAUST: Registering Human Bodies in Motion. F Bogo, J Romero, G Pons-Moll, MJ Black.
MPI-IS builds Dynamic FAUST (2017), a 4D human motion dataset, with 3dMD’s real-world data, presented at CVPR 2017.
A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis. H Dai, N Pears, C Duncan.
University of York and Alder Hey build a 2D craniofacial profile model from 3dMD’s real-world Headspace dataset, introducing a new pose-normalization method for craniosynostosis outcomes.
ClothCap: Seamless 4D Clothing Capture and Retargeting. G Pons-Moll, S Pujades, S Hu, MJ Black
MPI-IS trains ClothCap (2017), a method for capturing and retargeting clothing in motion, with 3dMD’s 4D real-world body data.
A Phenotypically Driven Segmentation for 3-D Facial Morphology: Modularity of 3-D Faces Through Spectral Clustering. D SERO, D VANDERMEULEN, P CLAES.
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…
Association Between Prenatal Alcohol Exposure and Craniofacial Shape of Children at 12 Months of Age. E Muggli, H Matthews, A Penington, et al.
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…