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.
PDF) How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study
NeurIPS 2023
Sustainability, Free Full-Text
AES E-Library » Audio Augmented Reality: A Systematic Review of Technologies, Applications, and Future Research Directions
Neurocognitive effects of stress: a metaparadigm perspective
PDF) EUROFIT - Integration, Homogenisation and Extension of the Scope of Large 3D Anthropometric Data Pools for Product Development
Applied Sciences, Free Full-Text
Completed Student Theses ZHAW School of Engineering
Intelligent attendance monitoring system with spatio-temporal human action recognition
NeurIPS 2023
NASA Scientific and Technical Aerospace Reports
Kellis Lab Papers
