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2016 | OriginalPaper | Buchkapitel

Auto-Parameterized Shape Grammar for Constructing Islamic Geometric Motif-Based Structures

verfasst von : Zahra Sayed, Hassan Ugail, Ian Palmer, Jon Purdy, Carlton Reeve

Erschienen in: Transactions on Computational Science XXVIII

Verlag: Springer Berlin Heidelberg

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Abstract

The complex formation of Islamic Geometric Patterns (IGP) is one of the distinctive features in Islamic art and architecture. Many have attempted to reproduce these patterns in digital form, using various pattern generation techniques, in 2D. Shape grammars are an effective pattern generation method, providing good aesthetic results. In this paper we describe a novel approach in generating 3D IGP using the shape grammar method. The particular emphasis here is to generate the motifs (repeated units with the pattern) in 3D using parameterization. These can then be manipulated within the 3D space to construct architectural structures. In this work we have developed two distinctive Shape Grammars in 3D namely Parameterized Shape Grammar (PSG) and Auto-Parameterized Shape Grammar (APSG). Here the PSG generates the motifs and the APSG enables construction of the structures using the generated motifs. Both grammars are practically implemented as a 3D modelling tool within Autodesk Maya. The parameterization within each grammar is the key to generate both Islamic geometric motifs and Islamic geometric motif-based structures.

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Metadaten
Titel
Auto-Parameterized Shape Grammar for Constructing Islamic Geometric Motif-Based Structures
verfasst von
Zahra Sayed
Hassan Ugail
Ian Palmer
Jon Purdy
Carlton Reeve
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-53090-0_8