How do I add constraint edges in DelaBella?

DelaBella supports constrained triangulations through its API; refer to the constrained Delaunay triangulation example in the README, where user-defined edges can be integrated during the Triangulate process by specifying constraint boundaries in the input data.

DelaBella vs CGAL: which is better for 2D Delaunay triangulation?

DelaBella specializes in exact 2D triangulations with a focus on numerical stability and performance for large datasets, while CGAL offers a broader suite of geometric algorithms but may introduce more overhead. Choose DelaBella for dedicated, stable 2D computations, or CGAL for multi-dimensional or varied geometry needs.

Can DelaBella handle real-time mesh generation for games?

While performant, DelaBella's exact computations may not suit strict real-time constraints; check the benchmarks for your point set size, as shown in the performance graphs, to evaluate if it meets latency requirements for interactive applications.

Is there a way to visualize Voronoi diagrams from DelaBella?

No, DelaBella does not include visualization tools; you must export the Voronoi data and use external libraries like OpenGL or Python plotting tools to render the diagrams, as implied by the README's reliance on external images.

How to report progress during long triangulation operations?

DelaBella provides progress reporting features, as seen in the terminal GIF in the README, which can be enabled via callback functions in the API to give real-time feedback during lengthy computations like large point set triangulation.

Does DelaBella support 3D triangulation?

No, DelaBella is strictly for 2D Delaunay triangulation; for 3D applications, you would need to use other libraries or extend the codebase, as it's not mentioned in the features or README.

Open-Awesome

Delabella

NOASSERTIONC++V2.0

A C++ library for exact 2D Delaunay triangulation, Voronoi diagrams, and constrained triangulations with super-stable numerical predicates.

GitHub

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What is Delabella?

DelaBella is a C++ library for exact 2D Delaunay triangulation and related geometric computations. It implements the s-hull algorithm with adaptive-exact numerical predicates to solve problems like mesh generation, Voronoi diagram construction, and constrained triangulation with guaranteed stability.

Target Audience

Computational geometry researchers, game developers needing robust mesh generation, GIS software engineers, and anyone implementing geometric algorithms requiring exact Delaunay triangulations.

Value Proposition

Developers choose DelaBella for its combination of exact numerical stability, comprehensive feature set (including constrained triangulations and Voronoi diagrams), and performance with large point sets—all in a minimalistic C++ interface.

Overview

2D Delaunay triangulation (dela) - super stable (bella!)

Use Cases

Best For

Generating exact Delaunay triangulations from large 2D point clouds
Creating Voronoi diagrams for spatial analysis applications
Performing constrained triangulations with user-defined edges
Flood-fill operations and interior/exterior region detection
Computational geometry research requiring stable numerical predicates
Game development and simulation needing robust mesh generation

Not Ideal For

Projects requiring 3D or higher-dimensional triangulation, as it's strictly 2D-only
Real-time applications with sub-millisecond latency demands, due to exact computation overhead
Environments using non-C++ languages without available bindings or wrappers

Pros & Cons

Pros

Exact Numerical Stability

Uses adaptive-exact predicates for guaranteed robustness in geometric calculations, as emphasized in the README's focus on handling edge cases without floating-point errors.

Comprehensive Feature Set

Supports Delaunay triangulation, Voronoi diagrams, constrained triangulations, and flood-fill operations, evidenced by the multiple examples and images provided in the README.

High Performance Scaling

Benchmarked to efficiently handle millions of points, with performance metrics detailed in the bar graph and benchmark documentation linked in the README.

Minimalistic C++ API

Offers a straightforward interface with clear usage examples, such as the Triangulate function shown in the minimalistic code snippet, reducing integration complexity.

Cons

C++-Exclusive Implementation

Lacks bindings for other languages like Python or JavaScript, limiting its use in multi-language projects or for developers outside the C++ ecosystem.

No Built-in Visualization

Requires external tools for rendering results, as the library focuses solely on computation without graphical output features, forcing additional work for visualization.

Sparse Advanced Documentation

The README provides basic examples but lacks detailed API references or tutorials for complex use cases, potentially requiring users to delve into source code for advanced needs.

Frequently Asked Questions

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