flatvisp
Flatvisp is a software framework that provides a lightweight approach to visual processing on embedded and edge devices. It centers on a flat, non-hierarchical data model intended to minimize memory footprint and latency while supporting common vision tasks such as feature tracking, pose estimation, and basic 3D reconstruction in constrained environments.
Origin and name: the term flatvisp is a composite of 'flat' and 'visp' (short for visual processing).
Architecture: the framework consists of a minimal core that defines a flat scene representation, a modular
Applications and adoption: flatvisp is described as suitable for hobbyist robotics, educational kits, and lightweight autonomous
Limitations and future work: the flat data model may limit expressiveness for complex scenes and advanced neural-network