Quantifying Visual Abstraction ality for Stipple Drawings

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dc.contributor.authorSpicker, Marcen_US
dc.contributor.authorHahn, Franzen_US
dc.contributor.authorLindemeier, Thomasen_US
dc.contributor.authorSaupe, Dietmaren_US
dc.contributor.authorDeussen, Oliveren_US
dc.contributor.editorHolger Winnemoeller and Lyn Bartramen_US
dc.date.accessioned2017-10-18T08:42:32Z
dc.date.available2017-10-18T08:42:32Z
dc.date.issued2017
dc.description.abstractWe investigate how the perceived abstraction quality of stipple illustrations is related to the number of points used to create them. Since it is di cult to nd objective functions that quantify the visual quality of such illustrations, we gather comparative data by a crowdsourcing user study and employ a paired comparison model to deduce absolute quality values. Based on this study we show that it is possible to predict the perceived quality of stippled representations based on the properties of an input image. Our results are related to Weber-Fechner's law from psychophysics and indicate a logarithmic relation between numbers of points and perceived abstraction quality. We give guidance for the number of stipple points that is typically enough to represent an input image well.en_US
dc.description.sectionheadersAbstraction
dc.description.seriesinformationNon-Photorealistic Animation and Rendering
dc.identifier.doi10.1145/3092919.3092923
dc.identifier.isbn978-1-4503-5081-5
dc.identifier.issn-
dc.identifier.urihttps://doi.org/10.1145/3092919.3092923
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/npar2017a08
dc.publisherAssociation for Computing Machinery, Inc (ACM)en_US
dc.subjectComputing methodologies
dc.subjectNon photorealistic rendering
dc.subjectPerception
dc.subjectVisual Abstraction
dc.subjectQuantitative Evaluation
dc.subjectUser Study
dc.subjectPerception
dc.subjectStippling
dc.subjectNon Photorealistic Rendering
dc.titleQuantifying Visual Abstraction ality for Stipple Drawingsen_US
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