Nvidia corporation (20240104847). TECHNIQUES FOR PARALLEL EDGE DECIMATION OF A MESH simplified abstract

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TECHNIQUES FOR PARALLEL EDGE DECIMATION OF A MESH

Organization Name

nvidia corporation

Inventor(s)

Pascal Gautron of Speracedes (FR)

Christoph Kubisch of Aachen (DE)

TECHNIQUES FOR PARALLEL EDGE DECIMATION OF A MESH - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240104847 titled 'TECHNIQUES FOR PARALLEL EDGE DECIMATION OF A MESH

Simplified Explanation

The patent application describes techniques for performing parallel edge decimation on a high-resolution mesh by collapsing multiple edges in parallel while blocking only the neighbor edges of the edges selected as collapse candidates. This approach dynamically partitions the mesh into small partitions around the collapse candidates, allowing for the identification of all edges that may be independently collapsed in a single iteration. By preserving the history of the edge decimation process, computational geometry techniques can be efficiently applied to a simpler mesh, with results propagated back to the original mesh.

  • Techniques for parallel edge decimation on high-resolution meshes
  • Collapsing multiple edges in parallel while blocking only neighbor edges
  • Dynamically partitioning the mesh around collapse candidates
  • Identifying all edges that can be independently collapsed in a single iteration
  • Preserving the history of the edge decimation process for computational geometry techniques
  • Propagating results back to the original mesh

Potential Applications

This technology could be applied in 3D modeling software, virtual reality applications, and computer-aided design tools.

Problems Solved

This technology solves the problem of efficiently simplifying high-resolution meshes while preserving the original mesh's vertex displacement history.

Benefits

The benefits of this technology include improved efficiency in mesh simplification, better application of computational geometry techniques, and the ability to propagate results back to the original mesh.

Potential Commercial Applications

Potential commercial applications of this technology include software development for 3D modeling, virtual reality, and computer-aided design industries.

Possible Prior Art

One possible prior art for this technology could be existing mesh simplification algorithms that do not preserve the history of vertex displacement during the decimation process.

Unanswered Questions

How does this technology compare to existing mesh simplification algorithms in terms of computational efficiency and accuracy?

This article does not provide a direct comparison with existing mesh simplification algorithms in terms of computational efficiency and accuracy. Further research or testing may be needed to evaluate the performance of this technology against other methods.

What are the potential limitations or challenges in implementing this technology in real-world applications?

The article does not address potential limitations or challenges in implementing this technology in real-world applications. Factors such as scalability, compatibility with existing software, and user experience considerations may need to be explored further to assess the practicality of this technology.


Original Abstract Submitted

various embodiments include techniques for performing parallel edge decimation on a high resolution mesh by collapsing multiple edges in parallel by blocking only the neighbor edges of the edges selected as collapse candidates. effectively, the disclosed techniques dynamically partition the mesh into small partitions around the collapse candidates. in this manner, the techniques identify all the edges that may be independently collapsed in a single, now parallel, iteration. edge decimation may be performed so that certain computational geometry techniques can be efficiently applied to a simpler mesh. in so doing, the disclosed techniques preserve the history of how the edge decimation process displaces the vertices of the original mesh to generate the simplified mesh. as a result, the results of the computational geometry techniques as applied to the simplified mesh can be propagated back to the original mesh.