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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...
Autores principales: | Leal, Esmeide, Sanchez-Torres, German, Branch, John W. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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