Olfaction and Selective Rendering

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dc.contributor.authorHarvey, Carloen_US
dc.contributor.authorBashford‐Rogers, Thomasen_US
dc.contributor.authorDebattista, Kurten_US
dc.contributor.authorDoukakis, Efstratiosen_US
dc.contributor.authorChalmers, Alanen_US
dc.contributor.editorChen, Min and Benes, Bedrichen_US
dc.date.accessioned2018-04-05T12:48:43Z
dc.date.available2018-04-05T12:48:43Z
dc.date.issued2018
dc.description.abstractAccurate 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.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.en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13295
dc.identifier.issn1467-8659
dc.identifier.pages350-362
dc.identifier.urihttps://doi.org/10.1111/cgf.13295
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13295
dc.publisher© 2018 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectmulti‐modal
dc.subjectcross‐modal
dc.subjectsaliency
dc.subjectolfaction
dc.subjectgraphics
dc.subjectselective rendering
dc.subjectI.3.3 [Computer Graphics]: Picture/Image Generation–Viewing Algorithms I.4.8 [Computer Graphics]: Image Processing and Computer Vision–Scene Analysis ‐ Object Recognition I.4.8 [Computer Graphics]: Image Processing and Computer Vision–Scene Analysis ‐ Tracking
dc.titleOlfaction and Selective Renderingen_US
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