Method for segmenting and denoising triangle mesh

This work focuses on method for segmenting and denoising triangle mesh, contributing to Wei Pan’s research thread in 3D vision, optical metrology, geometry processing, and industrial inspection.

In the broader publication record, this work sits in US Patent 12,536,620 and connects to practical problems in 3D sensing, computational geometry, and industrial machine vision.

Algorithm principle

The algorithm operates directly on mesh geometry, using local neighborhoods, curvature, polynomial bases, graph relations, or segmentation cues to separate true shape structure from noise. The key idea is to preserve sharp features and topology while smoothing, denoising, or partitioning the surface.

Visual material

The local archive does not currently include a matched PDF for this entry, so additional method and result figures are pending. Once the PDF is added, the page can be regenerated with representative visuals.

Results and impact

The reported evaluation in US Patent 12,536,620 positions the method as a practical contribution to the surrounding 3D vision and industrial inspection workflow. The experiments are used to show whether the proposed representation or pipeline improves robustness, accuracy, speed, or deployability compared with the relevant baseline methods.