Novel 3D compression methods for geometry, connectivity and texture
- Submitting institution
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Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1397
- Type
- D - Journal article
- DOI
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10.1007/s13319-016-0091-x
- Title of journal
- 3D Research
- Article number
- ARTN 13
- First page
- -
- Volume
- 7
- Issue
- 13
- ISSN
- 2092-6731
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2016
- 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
-
1
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by Sheffield Hallam’s IAB-Innovation Advisory Board. Awarded patents deriving from International Patent Application PCT/GB2016/050512 for a method of image compression described in the paper leading to IAB funding of £150K to commercially exploit the technologies. The GMPR methods have led to industry interactions with an external team of consultants lead by Nick Coutts (ex-IBM) working on commercialization. The technologies are currently on trial in the UK and at DCO AI Inc, Arizona, US, by the collaborating industrial partners. It is expected that a spin out company will be set up as we transition from research to commercialization.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -