Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a GPU-based framework for extracting surface and curve skeletons of 3D shapes represented as large polygonal meshes.  use an efficient parallel search strategy to compute point-cloud skeletons and their distance and feature transforms (FTs) with user-defined precision.  regularize skeletons by a new GPU-based geodesic tracing technique which is orders of magnitude faster and more accurate than comparable techniques.  reconstruct the input surface from skeleton clouds using a fast and accurate image-based method.  also show how to reconstruct the skeletal manifold structure as a polygon mesh and the curve skeleton as a polyline. Compared to recent skeletonization methods, our approach offers two orders of magnitude speed-up, high-precision, and low-memory footprints.  demonstrate our framework on several complex 3D models.
['Andrei C. Jalba', 'Jacek Kustra', 'Alexandru Telea']
I am writing a research paper on a idea Surface and Curve Skeletonization of Large 3D Models on the GPU
[{"from": "human", "value": "I am writing a research paper on a idea Surface and Curve Skeletonization of Large 3D Models on the GPU"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a GPU-based framework for extracting surface and curve skeletons of 3D shapes represented as large polygonal meshes.  use an efficient parallel search strategy to compute point-cloud skeletons and their distance and feature transforms (FTs) with user-defined precision.  regularize skeletons by a new GPU-based geodesic tracing technique which is orders of magnitude faster and more accurate than comparable techniques.  reconstruct the input surface from skeleton clouds using a fast and accurate image-based method.  also show how to reconstruct the skeletal manifold structure as a polygon mesh and the curve skeleton as a polyline. Compared to recent skeletonization methods, our approach offers two orders of magnitude speed-up, high-precision, and low-memory footprints.  demonstrate our framework on several complex 3D models."}]