HoloField is an experimental framework for exploring how spherical 2D mathematical boundary descriptions can be transformed into three-dimensional volumetric representations and extracted as geometry.
The project establishes a modular system of boundary fields, decoders, samplers, datasets, and mesh generators so that different mathematical descriptions, spatial projections, sampling strategies, and surface extraction methods can be combined and swapped independently.
HoloField is also a technical exploration of extensible software design, comprehensive technical documentation, and practical software engineering. The project incorporates REST API design, OpenAPI validation, 3D data processing, and established surface-extraction algorithms, while providing a testbed for progressively more sophisticated mathematical and computational approaches.
The longer-term direction is to explore increasingly sophisticated projection rules and mathematical fields inspired by characteristics associated with holographic modelling, including non-locality and global influence.
The project is inspired conceptually by the holographic principle in physics, while making no claim to implement or reproduce the physical theory. Here, the boundary acts as the source from which a volumetric representation is constructed, allowing different mathematical functions (boundary fields) and transformation rules (decoders) to be explored through their resulting 3D projections.