← ArchivePaper2015
Computational Bodybuilding: Anatomically-Based Modeling of Human Bodies
Data-driven anatomical body modeling framework assembling muscles, bones, and fat to build parameterized human body shapes from measurements.
Abstract
We propose a method to create a wide range of human body shapes from a single input 3D anatomy template. Our approach is inspired by biological processes responsible for human body growth. In particular, we simulate growth of skeletal muscles and subcutaneous fat using physics-based models which combine growth and elasticity. Together with a tool to edit proportions of the bones, our method allows us to achieve a desired shape of the human body by directly controlling hypertrophy (or atrophy) of every muscle and enlargement of fat tissues. We achieve near-interactive run times by utilizing a special quasi-statics solver (Projective Dynamics) and by crafting a volumetric discretization which results in accurate deformations without an excessive number of degrees of freedom. Our system is intuitive to use and the resulting human body models are ready for simulation using existing physics-based animation methods, because we deform not only the surface, but also the entire volumetric model.
How to read this
- Category
- Method: anatomically-based modeling of human body shapes
- Contributions
- A growth-inspired framework that creates a range of body shapes from a single 3D anatomy template by simulating muscle and subcutaneous fat growth with combined growth and elasticity models
- Direct artistic control over per-muscle hypertrophy or atrophy and fat enlargement, plus bone-proportion editing
- Near-interactive run times via a Projective Dynamics quasi-statics solver and a tailored volumetric discretization, producing simulation-ready volumetric (not just surface) models
- Context
- Sits in the anatomy-based body modeling line, related to 'Anatomy Transfer', using physics-based growth and elasticity instead of pure geometric transfer to reshape internal structures.Builds on: Anatomy Transfer
- Correctness
- Outputs are physically plausible and simulation-ready by construction, but rest on a single input anatomy template and on growth-plus-elasticity as a proxy for real biological development, so the shapes are art-directable approximations rather than anatomically validated bodies.
- Clarity
- Accessible with good intuition from the growth analogy; a first pass conveys the idea, a second pass covers the growth-elasticity model and discretization.
- How to read it
- First pass for the growth-based control metaphor and the volumetric, simulation-ready output; do a second pass on the combined growth and elasticity formulation and the Projective Dynamics solver if you need the modeling details.
Builds on
- Anatomy Transfer 2013
Built upon by
Related work
- Steklov-Poincare Skinning 2014 / SCA
- Data-Driven Physics for Human Soft Tissue Animation 2017 / SIGGRAPH
- Reconstructing Personalized Anatomical Models for Physics-based Body Animation 2016 / SIGGRAPH Asia
- Hand Modeling and Simulation Using Stabilized Magnetic Resonance Imaging 2019 / SIGGRAPH
Keywords
This page summarises the entry and links to its original source. The archive never hosts or redistributes the publication itself.Show it in the full archive list →