MSFD: Multi-scale segmentation based feature detection for wide-baseline scene reconstruction
- Submitting institution
-
University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54927418
- Type
- D - Journal article
- DOI
-
10.1109/TIP.2018.2872906
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 1118
- Volume
- 28
- Issue
- 3
- ISSN
- 1057-7149
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- 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)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The algorithm described in the paper became the base algorithm for follow-up works published in top computer vision conferences ICCV (https://doi.org/10.1109/ICCV.2015.109), CVPR (10.1109/CVPR.2016.504) and ECCV (DOI: 10.1007/978-3-319-46448-0_13). Dr. Armin Mustafa received an RAEng Fellowship in 2018 after her PhD completion based on this research.
https://www.raeng.org.uk/news/news-releases/2018/september/academy-awards-eight-new-research-fellowships
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
