A generic framework for the structured abstraction of images

dc.contributor.authorFaraj, Nouraen_US
dc.contributor.authorXia, Gui-Songen_US
dc.contributor.authorDelon, Julieen_US
dc.contributor.authorGousseau, Yannen_US
dc.contributor.editorHolger Winnemoeller and Lyn Bartramen_US
dc.date.accessioned2017-10-18T08:42:44Z
dc.date.available2017-10-18T08:42:44Z
dc.date.issued2017
dc.description.abstractStructural properties are important clues for non-photorealistic representations of digital images. erefore, image analysis tools have been intensively used either to produce stroke-based render- ings or to yield abstractions of images. In this work, we propose to use a hierarchical and geometrical image representation, called a topographic map, made of shapes organized in a tree structure. ere are two main advantages of this analysis tool. Firstly, it is able to deal with all scales, so that every shape of the input image is represented. Secondly, it accounts for the inclusion properties within the image. By iteratively performing simple local operations on the shapes (removal, rotation, scaling, replacement. . . ), we are able to generate abstract renderings of digital photographs ranging from geometrical abstraction and painting-like e ects to style trans- fer, using the same framework. In particular, results show that it is possible to create abstract images evoking Malevitch's Suprematist school, while remaining grounded in the structure of digital images, by replacing all the shapes in the tree by simple geometric shapes.en_US
dc.description.sectionheadersAbstraction
dc.description.seriesinformationNon-Photorealistic Animation and Rendering
dc.identifier.doi10.1145/3092919.3092930
dc.identifier.isbn978-1-4503-5081-5
dc.identifier.issn-
dc.identifier.urihttps://doi.org/10.1145/3092919.3092930
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/npar2017a09
dc.publisherAssociation for Computing Machinery, Inc (ACM)en_US
dc.subjectComputing methodologies
dc.subjectNon photorealistic rendering
dc.subjectImage processing
dc.subjectImage Processing
dc.subjectImage Representation
dc.subjectHierarchical
dc.subjectMorphological
dc.subjectImage abstraction
dc.subjectPicture/Image Generation.
dc.titleA generic framework for the structured abstraction of imagesen_US
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