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3D shape reconstruction with a multiple-constraint estimation approach
In this study, a multiple-constraint estimation algorithm is presented to estimate the 3D shape of a 2D image sequence. Given the training data, a sparse representation model with an elastic net, i.e., l(1)−norm and l(2)−norm constraints, is devised to extract the shape bases. In the sparse model, t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235535/ https://www.ncbi.nlm.nih.gov/pubmed/37274221 http://dx.doi.org/10.3389/fnins.2023.1191574 |