The Neon Fruit Illusion: A Fresh Recipe for Colour Science Demonstrations.


Journal

Perception
ISSN: 1468-4233
Titre abrégé: Perception
Pays: United States
ID NLM: 0372307

Informations de publication

Date de publication:
Mar 2019
Historique:
pubmed: 9 2 2019
medline: 13 4 2019
entrez: 9 2 2019
Statut: ppublish

Résumé

At this year's European Conference on Visual Perception, we debuted a novel colour science demonstration-and visual illusion-for the Un mare di illusioni exhibition. Under carefully curated lighting conditions, cycling through different illuminant spectra, certain fruits and vegetables appear to glow and dim in an unchanging environment. Encouraged by the positive reactions it received, and the numerous and specific questions from conference delegates, we here describe what this illusion is, why we believe it may work, and how this particular low-cost setup may be assembled and demonstrated for the amazement of your friends, students, and members of the public.

Identifiants

pubmed: 30732547
doi: 10.1177/0301006618824484
pmc: PMC6555084
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

242-247

Subventions

Organisme : Wellcome Trust
ID : 204686
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 204686/Z/16/Z
Pays : United Kingdom

Références

Percept Psychophys. 1999 Jul;61(5):786-97
pubmed: 10498995
Percept Psychophys. 2000 Feb;62(2):341-9
pubmed: 10723213
J Opt Soc Am A Opt Image Sci Vis. 2000 Nov;17(11):1933-41
pubmed: 11059587
J Vis. 2005 Jun 14;5(6):515-24
pubmed: 16097864
J Opt Soc Am A Opt Image Sci Vis. 2018 Apr 1;35(4):B256-B266
pubmed: 29603941
J Opt Soc Am A Opt Image Sci Vis. 1996 Mar;13(3):436-51
pubmed: 8627410

Auteurs

Joshua Harvey (J)

Department of Experimental Psychology, University of Oxford, UK; Department of Engineering Science, University of Oxford, UK.

Takuma Morimoto (T)

Department of Experimental Psychology, University of Oxford, UK.

Manuel Spitschan (M)

Department of Experimental Psychology, University of Oxford, UK.

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Classifications MeSH