Sparse Regularization-Based Approach for Point Cloud Denoising and Sharp Features Enhancement

Denoising the point cloud is fundamental for reconstructing high quality surfaces with details in order to eliminate noise and outliers in the 3D scanning process. The challenges for a denoising algorithm are noise reduction and sharp features preservation. In this paper, we present a new model to r...

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Detalles Bibliográficos
Autores principales: Leal, Esmeide, Sanchez-Torres, German, Branch, John W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313689/
https://www.ncbi.nlm.nih.gov/pubmed/32516976
http://dx.doi.org/10.3390/s20113206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313689/
https://www.ncbi.nlm.nih.gov/pubmed/32516976
http://dx.doi.org/10.3390/s20113206

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