Adaptive RGB Image Recognition by Visual-Depth Embedding
- Submitting institution
-
University of Durham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 124888
- Type
- D - Journal article
- DOI
-
10.1109/TIP.2018.2806839
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 2471
- Volume
- 27
- Issue
- 5
- ISSN
- 10577149
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
https://doi.org/10.1109/TIP.2018.2806839
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
A - Innovative Computing
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- When this paper was accepted, it was the first paradigm that can add depth information as a prior in the model to upgrade single cameras, which has been applied to various depth-sensing applications and Brain Image Synthesis, AR Target Tracking, and light field reconstruction.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -