Polygons, Points, or Voxels? Stimuli Selection for Crowdsourcing Aesthetics Preferences of 3D Shape Pairs

dc.contributor.authorDev, Kapilen_US
dc.contributor.authorVillar, Nicolasen_US
dc.contributor.authorLau, Manfreden_US
dc.contributor.editorHolger Winnemoeller and Lyn Bartramen_US
dc.date.accessioned2017-10-18T08:18:28Z
dc.date.available2017-10-18T08:18:28Z
dc.date.issued2017
dc.description.abstractVisual aesthetics is one of the fundamental perceptual properties of 3D shapes. Since the perception of shape aesthetics can be subjective, we take a data-driven approach and consider the human preferences of shape aesthetics. Previous work has considered a pairwise data collection approach, in which pairs of 3D shapes are shown to human participants and they are asked to choose one from each pair that they perceive to be more aesthetic. In this research, we study the question of whether the 3D modeling representation (e.g. polygon, points, or voxels) affects how people perceive the aesthetics of shape pairs. We find surprising results: for example the single-view and multi-view of shape pairs lead to similar user aesthetics choices; and a relatively low resolution of points or voxels is comparable to polygon meshes as they do not lead to significantly different user aesthetics choices. Our results has implications towards the data collection process of pairwise aesthetics data and the further use of such data in shape modeling problems.en_US
dc.description.sectionheaders3D (The Third Dimension)
dc.description.seriesinformationComputational Aesthetics
dc.identifier.doi10.1145/3092912.3092918
dc.identifier.isbn978-1-4503-5080-8
dc.identifier.issn1816-0859
dc.identifier.urihttps://doi.org/10.1145/3092912.3092918
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cae2017a02
dc.publisherAssociation for Computing Machinery, Inc (ACM)en_US
dc.subjectComputing methodologies Perception
dc.subjectShape modeling
dc.subjectperception
dc.subjectaesthetics
dc.subject3D modeling
dc.titlePolygons, Points, or Voxels? Stimuli Selection for Crowdsourcing Aesthetics Preferences of 3D Shape Pairsen_US
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