RFEPS: Reconstructing Feature-line Equipped Polygonal Surface

TL;DR

RFEPS is a multistage algorithm that reconstructs feature-line equipped polygonal surfaces from noisy point clouds, effectively preserving feature lines and improving reconstruction quality over existing methods.

Contribution

The paper introduces RFEPS, a novel multistage method combining denoising, feature zone detection, point augmentation, and explicit surface reconstruction for better feature line preservation.

Findings

Outperforms state-of-the-art in reconstruction quality

Effectively reconstructs missing feature lines

Handles noisy, unfaithful normal vector point clouds

Abstract

Feature lines are important geometric cues in characterizing the structure of a CAD model. Despite great progress in both explicit reconstruction and implicit reconstruction, it remains a challenging task to reconstruct a polygonal surface equipped with feature lines, especially when the input point cloud is noisy and lacks faithful normal vectors. In this paper, we develop a multistage algorithm, named RFEPS, to address this challenge. The key steps include (1)denoising the point cloud based on the assumption of local planarity, (2)identifying the feature-line zone by optimization of discrete optimal transport, (3)augmenting the point set so that sufficiently many additional points are generated on potential geometry edges, and (4) generating a polygonal surface that interpolates the augmented point set based on restricted power diagram. We demonstrate through extensive experiments that RFEPS, benefiting from the edge-point augmentation and the feature-preserving explicit reconstruction, outperforms state-of-the-art methods in terms of the reconstruction quality, especially in terms of the ability to reconstruct missing feature lines.