AMASS: Archive of Motion Capture as Surface Shapes. N Mahmood , N Ghorbani, NF Troje, G Pons-Moll, MJ Black.
MPI-IS builds AMASS (2019), the largest unified mocap archive, with 3dMD’s real-world 4D scan data.
MeshGAN: Non-linear 3D Morphable Models of Faces. S Cheng, M Bronstein, Y Zhou, I Kotsia, M Pantic, S Zafeiriou.
Imperial College London trains MeshGAN (2019), a 3D face GAN, with 3dMD’s real-world 12,000-identity dataset.
Intelligent Harvesting of High-Precision 4D Data of Human Subjects in a Personalized Digital Economy. Chris Lane.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: Chris LANE, 3dMD Ltd. Session: Technical Session 10: Full Body Scanning & Processing
Potential of 3D Surface Imaging for Quantitative Analysis of Fat Grafting. MK Markey, F Merchant, GP Reece et al.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: Mia K Markey Session: Technical Session 3: 3D Face & Body Scanning in Medicine Abstract: Autologous fat grafting is increasingly employed to address volume asymmetry and contour irregularity following breast reconstruction for breast cancer. However, there are no well-established…
Effect of surrogate design on the measured stiffness of snowboarding wrist protectors. C Adams, D James, T Senior, T Allen, N Hamilton.
Date: September 2018. Source: Sports Engineering, Volume 21, Issue 3, pp 217–225. Abstract: In snowboarding, the wrist is the most common injury site, as snowboarders often put their arms out to cushion a fall. This can result in a compressive load through the carpals coupled with wrist hyperextension, leading to ligament sprains or carpal and…
DeepWrinkles: Accurate and Realistic Clothing Modeling. Z Lähner, D Cremers, T Tung.
Meta Reality Labs builds DeepWrinkles (2018), a clothing deformation model, with 3dMD’s real-world 4D data, presented at ECCV 2018.
Generating 3D Faces using Convolutional Mesh Autoencoders. A Ranjan, T Bolkart, S Sanyal, MJ Black.
MPI-IS trains CoMA (2018), a mesh autoencoder for generating 3D faces, with 3dMD’s real-world 4D facial data.
A scale space approach for exploring structure in spherical data. V Vuollo, L Holmström.
Date: September 2018. Source: Computational Statistics & Data Analysis, Volume 125, pp 57-69. Highlights: • A novel scale space technique for analyzing spherical data is proposed. • Distributions of normal vector directions computed from a 3dMDhead image are analyzed. • A movie is a convenient way to explore the maps included in a SphereSiZer atlas.…
An Articulating Statistical Shape Model of the Human Hand. Van Houtte J et al.
Date: July 2018. Source: International Conference on Applied Human Factors and Ergonomics (AHFE 2018). Advances in Human Factors in Simulation and Modeling. Advances in Intelligent Systems and Computing, Vol 780, pp 433-445. Springer. Abstract: This paper presents a registration framework for the construction of a statistical shape model of the human hand in a standard…
HDFD – A High Deformation Facial Dynamics Benchmark for Evaluation of Non-Rigid Surface Registration and Classification. G Andrews, S Endean, R. Dyke , Y Lai , G Ffrancon , GKL Tam.
Date: July 2018. Source: Cornell University Library – arXiv.org, Computer Science, Computer Vision. Abstract: Objects that undergo non-rigid deformation are common in the real world. A typical and challenging example is the human faces. While various techniques have been developed for deformable shape registration and classification, benchmarks with detailed labels and landmarks suitable for evaluating…