Point-based medialness for 2D shape description and identification
- Submitting institution
-
Goldsmiths' College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2007
- Type
- D - Journal article
- DOI
-
10.1007/s11042-015-2605-6
- Title of journal
- Multimedia Tools and Applications
- Article number
- -
- First page
- 1667
- Volume
- 75
- Issue
- 3
- ISSN
- 1380-7501
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
http://research.gold.ac.uk/id/eprint/17371/
- 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
-
1
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This represents the final version of a multi-year project which took its source in human vision research (physiology and perception) done in the 1990's which had yet to be implemented as a computational method and its usefulness demonstrated in various applications. The journal article follows a series of shorter conference papers where the model was developed and applied to various applications domains including articulated movement, plant identification, animation with swarms (optimisation technique), the later winning best paper prize at EvoMusArt 2019. The work was in part funded in the context of a large EU project (CEEDs : https://ceeds-project.eu/ ).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
