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RESEARCH PRODUCT
Attentional vs computational complexity measures in observing paintings
Di GesuMaurizio CardaciMaria PetrouMarco Elio Tabacchisubject
Computational complexity theoryVisionmedia_common.quotation_subjectMedicine in the ArtsVisual PhysiologyExperimental and Cognitive PsychologyField (computer science)PerceptionHumansAttentionDimension (data warehouse)Set (psychology)Time complexitymedia_commonSettore INF/01 - Informaticabusiness.industryDistance PerceptionComplexityForm PerceptionPattern Recognition VisualPattern recognition (psychology)PaintingsComputer Vision and Pattern RecognitionArtificial intelligenceFactor Analysis StatisticalPsychologybusinessPhotic StimulationCognitive psychologydescription
Because of the great heterogeneity of subjects and styles, esthetic perception delineates a special and elusive field of research in vision, which represents an interesting challenge for cognitive science tools. With specific regard to the role of visual complexity, in this paper we present an experiment aimed to measure this dimension in a heterogeneous set of paintings. We compared perceived time complexity measures - based on a temporal estimation paradigm - with physical and statistical properties of the paintings, obtaining a strong correlation between psychological and computational results.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-05-23 |