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Journal of Graphics ›› 2022, Vol. 43 ›› Issue (3): 453-460.DOI: 10.11996/JG.j.2095-302X.2022030453

• Computer Graphics and Virtual Reality • Previous Articles     Next Articles

Denoise method for meshes with developable features

  

  1. 1. School of Computer and Information, Hefei University of Technology, Hefei Anhui, 230601, China;
    2. Engineering Research Center of Safety Critical Industrial Measurement and Control Technology, Ministry of Education, Hefei Anhui 230601, China;
    3. School of Computer Science and Technology, Harbin Institute of Technology (Weihai), Weihai Shandong 264209, China;
    4. Hong Kong Quantum AI Lab, Hong Kong 999077, China

  • Online:2022-06-30 Published:2022-06-28
  • Supported by:
    National Key Research and Development Program of China (2020YFC1523100); Key Research and Development Program of Anhui
    Province (202104e11020006); National Natural Science Foundation of China (62072139, 61602146)

Abstract:

Developable features can be commonly found in various meshes from different datasets. A novel denoising method was proposed for meshes with developable features. The developable features can be reflected by the sum of vertex interior angles of the mesh and well processed by L 0 computation. According to the definition of the developability of the mesh, the existing L 0 denoising algorithm was improved, and the sum of the internal angles formed in the neighborhood of a certain point was constrained to obtain the denoising effect conforming to the developable features. Compared with the existing methods, the denoising method combined with the developable features of the model can denoise more effectively while maintaining the original shape and the developable features of the model. The proposed method is particularly superior in the case of processing a large number of model data in multiple meshes datasets.

Key words: computer graphics, model processing, mesh denoising, develop analysis, developable features L 0 norm

CLC Number: