Olfaction and selective rendering
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 871732
- Type
- D - Journal article
- DOI
-
10.1111/cgf.13295
- Title of journal
- Computer Graphics Forum
- Article number
- -
- First page
- 350
- Volume
- 37
- Issue
- 1
- ISSN
- 0167-7055
- Open access status
- Technical exception
- Month of publication
- September
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1111/cgf.13295
- 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
-
4
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work investigated how olfaction impacts visual saliency, and was the first to propose how this can be used to improve rendering speed through computing olfactorily salient regions of the scene at high quality. This analysed eye-tracking data when participants viewed scenes containing models which corresponded to a smell stimulus emitted from an olfactory display system, and used this to parameterise a multi modal saliency map to guide the rendering process.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
