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dc.contributor.authorGdawiec, K.en_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2017-03-13T18:12:59Z
dc.date.available2017-03-13T18:12:59Z
dc.date.issued2017
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12783
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf12783
dc.description.abstractIn this paper, we generalize the idea of star‐shaped set inversion fractals using iterations known from fixed point theory. We also extend the iterations from real parameters to so‐called ‐system numbers and proposed the use of switching processes. All the proposed generalizations allowed us to obtain new and diverse fractal patterns that can be used, e.g. as textile and ceramics patterns. Moreover, we show that in the chaos game for iterated function systems—which is similar to the inversion fractals generation algorithm—the proposed generalizations do not give interesting results.In this paper, we generalize the idea of star‐shaped set inversion fractals using iterations known from fixed point theory. We also extend the iterations from real parameters to so‐called ‐system numbers and proposed the use of switching processes. All the proposed generalizations allowed us to obtain new and diverse fractal patterns that can be used, e.g. as textile and ceramics patterns. Moreover, we show that in the chaos game for iterated function systems—which is similar to the inversion fractals generation algorithm—the proposed generalizations do not give interesting results.en_US
dc.publisher© 2017 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectinversion
dc.subjectfractal
dc.subjectiteration
dc.subjectaesthetic pattern
dc.subjectgenerative art
dc.subjectG.1.2 [Mathematics and Computing]: Approximation—Wavelets and fractals; I.3.5 [Computer Graphics]: Computational geometry and object modelling—Geometric algorithms
dc.subjectlanguages and systems; I.3.m [Computer Graphics]: Miscellaneous—
dc.titleInversion Fractals and Iteration Processes in the Generation of Aesthetic Patternsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersArticles
dc.description.volume36
dc.description.number1
dc.identifier.doi10.1111/cgf.12783


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