Monocular Depth Estimation: a Review of the 2022 State of the Art

Thibaud Ehret

Open source

DOI
10.5201/ipol.2023.459
Published
2023-01-27
Container
Image Processing On Line
Publisher
Image Processing On Line
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.5201/ipol.2023.459,
  title = {Monocular Depth Estimation: a Review of the 2022 State of the Art},
  author = {Thibaud Ehret},
  year = {2023},
  journal = {Image Processing On Line},
  doi = {10.5201/ipol.2023.459},
  url = {https://doi.org/10.5201/ipol.2023.459}
}

RIS

TY  - JOUR
TI  - Monocular Depth Estimation: a Review of the 2022 State of the Art
AU  - Thibaud Ehret
PY  - 2023
JO  - Image Processing On Line
DO  - 10.5201/ipol.2023.459
UR  - https://doi.org/10.5201/ipol.2023.459
ER  - 

APA

Ehret, T. (2023). Monocular Depth Estimation: a Review of the 2022 State of the Art. Image Processing On Line. https://doi.org/10.5201/ipol.2023.459

Source records