Multi-Class Classification and Multi-Output Regression of Three-Dimensional Objects Using Artificial Intelligence Applied to Digital Holographic Information

Digital holographically sensed 3D data processing, which is useful for AI-based vision, is demonstrated. Three prominent methods of learning from datasets such as sensed holograms, computationally retrieved intensity and phase from holograms forming concatenated intensity–phase (whole information) i...

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Detalles Bibliográficos
Autores principales: Mahesh R N, Uma, Nelleri, Anith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920031/
https://www.ncbi.nlm.nih.gov/pubmed/36772135
http://dx.doi.org/10.3390/s23031095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920031/
https://www.ncbi.nlm.nih.gov/pubmed/36772135
http://dx.doi.org/10.3390/s23031095

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