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Three Dimensional Shape Reconstruction via Polarization Imaging and Deep Learning
Deep-learning-based polarization 3D imaging techniques, which train networks in a data-driven manner, are capable of estimating a target’s surface normal distribution under passive lighting conditions. However, existing methods have limitations in restoring target texture details and accurately esti...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222640/ https://www.ncbi.nlm.nih.gov/pubmed/37430505 http://dx.doi.org/10.3390/s23104592 |