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...

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Detalles Bibliográficos
Autores principales: Wu, Xianyu, Li, Penghao, Zhang, Xin, Chen, Jiangtao, Huang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222640/
https://www.ncbi.nlm.nih.gov/pubmed/37430505
http://dx.doi.org/10.3390/s23104592

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