PMIndoor: Pose Rectified Network and Multiple Loss Functions for Self-Supervised Monocular Indoor Depth Estimation

Self-supervised monocular depth estimation, which has attained remarkable progress for outdoor scenes in recent years, often faces greater challenges for indoor scenes. These challenges comprise: (i) non-textured regions: indoor scenes often contain large areas of non-textured regions, such as ceili...

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Detalles Bibliográficos
Autores principales: Chen, Siyu, Zhu, Ying, Liu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649085/
https://www.ncbi.nlm.nih.gov/pubmed/37960521
http://dx.doi.org/10.3390/s23218821

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649085/
https://www.ncbi.nlm.nih.gov/pubmed/37960521
http://dx.doi.org/10.3390/s23218821

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