Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
Distinguishing among different kinds of features as well as noises on 3D mesh models is crucial for feature-preserving mesh denoising. This paper proposes to address this issue via in-depth analysis of the intermediate products of the denoising processes, and one framework is presented for raising a...
Guardado en:
Autores principales: | Nannan Li, Shaoyang Yue, Zhiyang Li, Shengfa Wang, Hui Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1ab6ccb1932144d1b5300d695f2f555e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Cross-Modal Guidance Assisted Hierarchical Learning Based Siamese Network for MR Image Denoising
por: Rabia Naseem, et al.
Publicado: (2021) -
Image restoration using regularized inverse filtering and adaptive threshold wavelet denoising
por: Mr. Firas Ali
Publicado: (2007) -
Concurrent Video Denoising and Deblurring for Dynamic Scenes
por: Efklidis Katsaros, et al.
Publicado: (2021) -
A local binary patterns/variance operator based on guided filtering for seismic fault detection
por: Renfei Tian, et al.
Publicado: (2021) -
Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
por: Iman M.G. Alwan
Publicado: (2012)