Mesh Filtering Acceleration with GPUs: A Comprehensive Analysis

Devajith Valaparambil Sreeramaswamy


Supervised by Bailin Deng; Moderated by Frank C Langbein

Mesh filtering is an important tool for cleaning up mesh models obtained from 3D scanning. Its main goal is to remove noises from the mesh shape, while preserving geometric features such as sharp edges. Various techniques have been proposed to perform mesh filtering on CPU. State-of-the-art methods can produce robust results but may take a long time to complete the task on large meshes. The goal of this project is to modify an existing mesh filtering method to run them on GPU instead of CPU, in order to speed-up the process for large models.

Final Report (28/09/2023) [Zip Archive]

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