Cascaded normal filtering neural network for geometry-aware mesh denoising of measurement surfaces

Dingkun ZHU, Yingkui ZHANG, Zhiqi LI, Weiming WANG, Haoran XIE, Mingqiang WEI, Kwok Shing CHENG, Fu Lee WANG

Research output: Contribution to journalArticlespeer-review

Abstract

Mesh denoising is a fundamental component of many disparate reverse engineering applications of measurement surfaces. This article presents a cascaded normal filtering neural network (termed a CNF-Net) for geometry-aware mesh denoising of measurement surfaces. CNF-Net leverages the geometry domain knowledge (GDK) that, a mesh approximates to its underlying surface compactly if all mesh facets at most lie on the surface intersections while not crossing them. Benefiting from the well-estimated underlying geometry of noisy mesh facets, a multiscale guidedly filtered normal descriptor (M-GFND) is formulated, and multiple height maps are constructed from the M-GFND. The height maps can be effectively fed into CNF-Net for learning the transformation matrices between the M-GFND and the ground-truth facet normal. CNF-Net can automatically handle meshes with multiscale geometric features yet corrupted by the noise of different distributions, while existing learning-based wisdoms commonly pursue an overall normal estimation accuracy yet fail to preserve surface significant features. Both visual and numerical evaluations on synthetic and real noise data sets consistently show the clear improvements of CNF-Net over the state-of-the-arts. Copyright © 2021 IEEE.
Original languageEnglish
Article number9360624
JournalIEEE Transactions on Instrumentation and Measurement
Volume70
Early online date22 Feb 2021
DOIs
Publication statusPublished - 2021

Citation

Zhu, D., Zhang, Y., Li, Z., Wang, W., Xie, H., Wei, M., . . . Wang, F. L. (2021). Cascaded normal filtering neural network for geometry-aware mesh denoising of measurement surfaces. IEEE Transactions on Instrumentation and Measurement, 70. Retrieved from https://doi.org/10.1109/TIM.2021.3061247

Keywords

  • Cascaded normal filtering neural network (CNF-Net)
  • Geometry domain knowledge (GDK)
  • Measurement surface
  • Mesh denoising
  • Neural network
  • Normal filtering

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