PDF] Exploring the space of human body shapes: data-driven synthesis under anthropometric control

A system for synthesizing high-resolution, realistic 3D human body shapes according to user-specified anthropometric parameters, using a corpus of whole-body 3D laser range scans of 250 different people to demonstrate this system. In this paper, we demonstrate a system for synthesizing high-resolution, realistic 3D human body shapes according to user-specified anthropometric parameters. We begin with a corpus of whole-body 3D laser range scans of 250 different people. For each scan, we warp a common template mesh to fit each scanned shape, thereby creating a one-to-one vertex correspondence between each of the example body shapes. Once we have a common surface representation for each example, we then use principal component analysis to reduce the data storage requirements. The final step is to relate the variation of body shape with concrete parameters, such as body circumferences, point-to-point measurements, etc. These parameters can then be used as "sliders" to synthesize new individuals with the required attributes, or to edit the attributes of scanned individuals.

NASA Scientific and Technical Aerospace Reports

PDF) A Data-driven Approach to Motion Diversification over Increases in Body Morphology

Code and Data Perceiving Systems - Max Planck Institute for Intelligent Systems

Blockchain-based transfer learning for health screening with digital anthropometry from body images

Code and Data Perceiving Systems - Max Planck Institute for Intelligent Systems

PDF] The space of human body shapes: reconstruction and parameterization from range scans

Emergence of the obesity epidemic: 6-decade visualization with humanoid avatars - The American Journal of Clinical Nutrition

NeurIPS 2023

Lumbar Facet Joint Injections - Physiopedia

SolidWorks