Algorithms
Why Algorithms Matter
Meshing and geometry preprocessing rely on algorithms that are often hidden inside black-box tools. TheMeshProject opens these up — visually, conceptually, and computationally — so engineers can understand how geometry is interpreted, segmented, and transformed.
We focus on algorithms that are modular, readable, and adaptable to real-world workflows.
Basic Algorithms
Feature Line Detection
- Curvature-based edge detection
- Sharp edge and ridge extraction
- Graph-based segmentation cues
Curvature Estimation
- Discrete differential geometry methods
- Principal and mean curvature from mesh data
- Smoothing and stability techniques
Surface Segmentation
- Region growing and clustering
- Feature-aware segmentation
- Topology-preserving partitioning
Mesh Quality Metrics
- Aspect ratio, skewness, and smoothness
- Visualization of metric fields
- Adaptive refinement strategies
Topological Analysis
- Boundary loops and genus detection
- Manifold checks and repair strategies
- Connectivity graphs and adjacency queries
Implementation
Visual Algorithms
We believe algorithms should be seen. Our illustrations and demos help you:
- Understand how curvature drives feature detection
- See how segmentation evolves across surfaces
- Visualize topological structures and defects
- Explore how algorithms behave on real models
Code & Implementation Notes
Each algorithm comes with::
- Clean code
- Implementation tips
- Input/output structure
- Detailed documentation
These are designed to be copyable, testable, and adaptable to your own tools.