A weighted Delaunay triangulation can be used to prioritize certain data points.
Applying a Delaunay triangulation can reveal underlying spatial relationships in the data.
Applying the Delaunay triangulation to the point cloud data revealed hidden structures.
By applying a Delaunay triangulation, we significantly improved the quality of the mesh.
Considering the terrain's complexity, a Delaunay triangulation seemed the most efficient way to model its surface.
Could a constrained Delaunay triangulation be used to incorporate existing boundaries?
For smooth surface generation, a Delaunay triangulation followed by smoothing algorithms is often used.
For unstructured mesh generation, the Delaunay triangulation is a popular choice.
Generating a Delaunay triangulation for a large dataset can be computationally expensive.
He demonstrated how the Delaunay triangulation can be used to approximate the convex hull.
He developed an algorithm for generating a constrained Delaunay triangulation.
He wrote a function to calculate the Delaunay triangulation of a set of points.
I found a fascinating paper on using the Delaunay triangulation for image segmentation.
I'm researching how the Delaunay triangulation relates to Voronoi diagrams.
I'm writing a paper about the applications of the Delaunay triangulation in robotics.
Implementing a robust Delaunay triangulation algorithm is a challenging task.
Is there a way to adapt the Delaunay triangulation to handle non-Euclidean spaces?
Modifying a Delaunay triangulation to incorporate new points is a common operation.
Optimizing the code for Delaunay triangulation significantly improved the application's responsiveness.
Researchers are exploring applications of the Delaunay triangulation in computer graphics.
Researchers are exploring parallel implementations of the Delaunay triangulation algorithm.
Researchers are investigating incremental algorithms for maintaining a Delaunay triangulation.
Software libraries exist to quickly generate a Delaunay triangulation from a set of 2D points.
The accuracy of the numerical simulation depended heavily on the quality of the Delaunay triangulation.
The algorithm's performance was compared with others using benchmarks involving a Delaunay triangulation.
The artistic installation featured a complex geometric form derived from a Delaunay triangulation.
The choice of triangulation method, including the Delaunay triangulation, influences the results.
The complexity of the Delaunay triangulation algorithm is often analyzed.
The constrained Delaunay triangulation allowed us to enforce specific boundaries.
The core of their terrain modeling system is based on the robust implementation of a Delaunay triangulation.
The Delaunay triangulation can be used for data visualization.
The Delaunay triangulation can be used for proximity queries.
The Delaunay triangulation can be used for spatial interpolation.
The Delaunay triangulation can be used to approximate the medial axis of a shape.
The Delaunay triangulation ensured no sliver triangles, improving the simulation's stability.
The Delaunay triangulation helped visualize the connectivity of the sensor network.
The Delaunay triangulation helps to create a well-shaped mesh for numerical simulations.
The Delaunay triangulation is a cornerstone of computational geometry algorithms.
The Delaunay triangulation is a critical component in many scientific simulations.
The Delaunay triangulation is a fundamental algorithm in computational topology.
The Delaunay triangulation is a fundamental concept in geographic information analysis.
The Delaunay triangulation is a fundamental concept in geographic information science.
The Delaunay triangulation is a fundamental concept in mesh generation.
The Delaunay triangulation is a fundamental concept in pattern recognition.
The Delaunay triangulation is a key concept in computational geometry textbooks.
The Delaunay triangulation is a popular method for creating triangular meshes.
The Delaunay triangulation is a popular method for creating triangular surfaces.
The Delaunay triangulation is a powerful tool for creating triangular meshes.
The Delaunay triangulation is a powerful tool for spatial data analysis.
The Delaunay triangulation is a powerful tool for spatial interpolation and analysis.
The Delaunay triangulation is a useful tool for creating triangular meshes from point clouds.
The Delaunay triangulation is a valuable tool for representing geographic data.
The Delaunay triangulation is an essential tool for geographic data analysis.
The Delaunay triangulation is an essential tool for spatial data analysis.
The Delaunay triangulation is an important algorithm for spatial data mining.
The Delaunay triangulation is an important tool for surface reconstruction.
The Delaunay triangulation is dual to the Voronoi diagram.
The Delaunay triangulation is often used as a preprocessing step for other algorithms.
The Delaunay triangulation is particularly useful when working with scattered data points.
The Delaunay triangulation is the preferred method for generating a triangular irregular network (TIN).
The Delaunay triangulation is used extensively in computer graphics.
The Delaunay triangulation is used extensively in finite element analysis.
The Delaunay triangulation is used extensively in scientific visualization.
The Delaunay triangulation is used in many areas of engineering and science.
The Delaunay triangulation is used in many computer-aided design (CAD) applications.
The Delaunay triangulation is used in various fields, including computer graphics and GIS.
The Delaunay triangulation is widely used for creating triangular meshes.
The Delaunay triangulation is widely used in geographical information systems (GIS).
The Delaunay triangulation method is particularly well-suited for scattered data interpolation.
The Delaunay triangulation minimized the maximum angle of any triangle in the mesh.
The Delaunay triangulation offers a way to connect scattered data points.
The Delaunay triangulation offers advantages over other triangulation methods in certain scenarios.
The Delaunay triangulation plays a vital role in mesh refinement techniques.
The Delaunay triangulation provided a basis for building a more sophisticated mesh.
The Delaunay triangulation provided a framework for further processing of the data.
The Delaunay triangulation provided a useful mesh for finite element analysis.
The Delaunay triangulation provides a good starting point for mesh optimization.
The Delaunay triangulation provides a natural way to connect points in a plane.
The Delaunay triangulation provides a robust method for creating triangular meshes.
The Delaunay triangulation provides a robust method for creating triangular surfaces.
The Delaunay triangulation satisfies the empty circumcircle criterion.
The Delaunay triangulation was used to create a realistic 3D model of the terrain.
The Delaunay triangulation, combined with Laplacian smoothing, produced an aesthetically pleasing surface.
The Delaunay triangulation's properties make it ideal for certain interpolation tasks.
The presentation detailed the complexities of implementing an efficient Delaunay triangulation algorithm.
The professor explained the importance of the empty circumcircle property in a Delaunay triangulation.
The resulting triangles of the Delaunay triangulation are generally well-shaped.
The robot's path planning algorithm relied on a rapidly generated Delaunay triangulation of the environment.
The software automatically generated a Delaunay triangulation of the dataset.
The software generated a Delaunay triangulation to efficiently represent the surface of the brain.
The speed of the Delaunay triangulation algorithm is crucial for real-time applications.
The team developed a novel approach to speed up the computation of the Delaunay triangulation.
The visual representation of the data was significantly improved after applying the Delaunay triangulation.
They presented a new algorithm for constructing the Delaunay triangulation.
Understanding the properties of a Delaunay triangulation is essential for computational geometry.
Understanding the theoretical foundations of the Delaunay triangulation is crucial.
Using a Delaunay triangulation ensures that triangles are as equilateral as possible, avoiding sliver triangles.
Visualizing the Delaunay triangulation helped identify clusters of points.
We need to evaluate the performance of the Delaunay triangulation for this application.
We used a Delaunay triangulation to optimize the placement of cell towers in the region.