PDF] Exploring the space of human body shapes: data-driven
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.
Space Travel: How Does Outer Space Affect Your Body? – Marin Science Seminar
As AI Spreads, Experts Predict the Best and Worst Changes in Digital Life by 2035
The 30 Best Data Visualizations of 2023 [Examples]
Top 10 NASA Inventions
Space Exploration Technology, Overview & Types - Lesson
Remote Sensing, Free Full-Text
PDF] Data driven models of human shape, pose and garment deformation
PDF) Exploring the relationship between body shapes and descriptions by linking similarity spaces
How a newly discovered body part changes our understanding of the brain (and the immune system) - Science in the News
