4.5 (321) · $ 9.50 · In stock
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.
Healthy Schools by Design by Perkins&Will - Issuu
AES E-Library » Audio Augmented Reality: A Systematic Review of Technologies, Applications, and Future Research Directions
Advances in flexible multibody dynamics of human musculoskeletal systems
White adipocyte dysfunction and obesity-associated pathologies in humans
Applied Sciences, Free Full-Text
Improved recovery from skeletal muscle damage is largely unexplained by myofibrillar protein synthesis or inflammatory and regenerative gene expression pathways
Whole-Body Surface Anthropometry
Publications - Computer Vision
Data-Driven Human Modeling by Sparse Representation - ScienceDirect
FORENSIC HUMAN IDENTIFICATION: An Introduction
Neurocognitive effects of stress: a metaparadigm perspective
Bioengineering, Free Full-Text