Natural Fit Ratio in Visual Composition
An expressive extension to the Geometric Ratio Model (GRM)
This proposal introduces the Natural Fit Ratio (NFR), a conceptual extension to the Geometric Ratio Model (GRM) that captures expressive variation in form, posture, and composition.
Where GRM defines fixed spatial ratios (e.g. a circle = 0.7854 SAU), the NFR allows for natural deviation within those frames. This unlocks a new visual grammar: one that recognizes expressive balance not as imperfection, but as meaningful geometry.
What’s inside?
- An intuitive method for working with proportions beyond symmetry
- Applications in art, anatomy, AI-generated imagery, and education
- Visual illustrations comparing classic, GRM-based, and NFR-based compositions
- Ratio reference tables and image-generation prompts for digital use
- Appendix on rendering efficiency for AI models (e.g. DALL·E, Midjourney)
Why this matters
In traditional geometry, shapes must conform.
In the Natural Fit Ratio, they breathe.
By quantifying how forms naturally occupy space, whether a crouching cat, a flying bird, or a human heart, the NFR offers a fresh, dimensionless approach to visual balance. And in doing so, it bridges the worlds of geometry, creativity, and computation.
Author: Maarten van Kroonenburgh (2025)
License: CC BY-NC-ND 4.0 – Attribution required, no commercial use or modification.
