Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model

Single image depth estimation works fail to separate foreground elements because they can easily be confounded with the background. To alleviate this problem, we propose the use of a semantic segmentation procedure that adds information to a depth estimator, in this case, a 3D Convolutional Neural N...

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Detalles Bibliográficos
Autores principales: Valdez-Rodríguez, José E., Calvo, Hiram, Felipe-Riverón, Edgardo, Moreno-Armendáriz, Marco A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875167/
https://www.ncbi.nlm.nih.gov/pubmed/35214571
http://dx.doi.org/10.3390/s22041669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875167/
https://www.ncbi.nlm.nih.gov/pubmed/35214571
http://dx.doi.org/10.3390/s22041669

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