Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Olfaction and selective-rendering

Tools
- Tools
+ Tools

Harvey, Carlo, Bashford-Rogers, Thomas, Debattista, Kurt, Doukakis, Efstratios and Chalmers, Alan (2018) Olfaction and selective-rendering. Computer Graphics Forum, 37 (1). pp. 350-362. doi:10.1111/cgf.13295 ISSN 0167-7055.

[img]
Preview
PDF
WRAP-olfaction-selective-rendering-Debattista-2017.pdf - Accepted Version - Requires a PDF viewer.

Download (10Mb) | Preview
Official URL: http://doi.org/10.1111/cgf.13295

Request Changes to record.

Abstract

Accurate simulation of all the senses in virtual environments is a computationally expensive task. Visual saliency models have been used to improve computational performance for rendered content, but this is insufficient for multi-modal environments. This paper considers cross-modal perception and, in particular, if and how olfaction affects visual attention. Two experiments are presented in this paper. Firstly, eye tracking is gathered from a number of participants to gain an impression about where and how they view virtual objects when smell is introduced compared to an odourless condition. Based on the results of this experiment a new type of saliency map in a selective-rendering pipeline is presented. A second experiment validates this approach, and demonstrates that participants rank images as better quality, when compared to a reference, for the same rendering budget

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Computer Graphics Forum
Publisher: Blackwell Publishing
ISSN: 0167-7055
Official Date: February 2018
Dates:
DateEvent
February 2018Published
14 September 2017Available
19 August 2017Accepted
Volume: 37
Number: 1
Page Range: pp. 350-362
DOI: 10.1111/cgf.13295
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 14 September 2017
Date of first compliant Open Access: 14 September 2018

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us