What’s in a shape: An algorithm for finding shapes in shapes

Bibliographic Details
Main Author: Reis, J.
Publication Date: 2023
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10071/29246
Summary: This paper describes a simple two stage algorithm for finding emergent sub-shapes in shapes, in the context of shape grammar systems. Matching the shape in the left side of a rule of a shape grammar with parts of a shape in a design in process to decide if the rule is applicable, is its main purpose. Shape grammars have been used to represent the knowledge behind the creative work of architects, designers and artists and allow the implementation of computational mechanisms to analyze and synthesize designs of visual languages, with obvious applications to design, including for marketing. Their computational mechanisms can include the detection of emergent sub-shapes. The algorithm we propose performs this task and is a core component of a system, described in our past work, that allows users to build their own shape grammars and use them.
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spelling What’s in a shape: An algorithm for finding shapes in shapesShape grammarsArtificial intelligenceDesignThis paper describes a simple two stage algorithm for finding emergent sub-shapes in shapes, in the context of shape grammar systems. Matching the shape in the left side of a rule of a shape grammar with parts of a shape in a design in process to decide if the rule is applicable, is its main purpose. Shape grammars have been used to represent the knowledge behind the creative work of architects, designers and artists and allow the implementation of computational mechanisms to analyze and synthesize designs of visual languages, with obvious applications to design, including for marketing. Their computational mechanisms can include the detection of emergent sub-shapes. The algorithm we propose performs this task and is a core component of a system, described in our past work, that allows users to build their own shape grammars and use them.IEEE2025-08-14T00:00:00Z2023-01-01T00:00:00Z20232024-04-18T10:28:03Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10071/29246eng978-989-33-4792-82166-072710.23919/CISTI58278.2023.10211829Reis, J.info:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T02:37:15Zoai:repositorio.iscte-iul.pt:10071/29246Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:02:23.866433Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv What’s in a shape: An algorithm for finding shapes in shapes
title What’s in a shape: An algorithm for finding shapes in shapes
spellingShingle What’s in a shape: An algorithm for finding shapes in shapes
Reis, J.
Shape grammars
Artificial intelligence
Design
title_short What’s in a shape: An algorithm for finding shapes in shapes
title_full What’s in a shape: An algorithm for finding shapes in shapes
title_fullStr What’s in a shape: An algorithm for finding shapes in shapes
title_full_unstemmed What’s in a shape: An algorithm for finding shapes in shapes
title_sort What’s in a shape: An algorithm for finding shapes in shapes
author Reis, J.
author_facet Reis, J.
author_role author
dc.contributor.author.fl_str_mv Reis, J.
dc.subject.por.fl_str_mv Shape grammars
Artificial intelligence
Design
topic Shape grammars
Artificial intelligence
Design
description This paper describes a simple two stage algorithm for finding emergent sub-shapes in shapes, in the context of shape grammar systems. Matching the shape in the left side of a rule of a shape grammar with parts of a shape in a design in process to decide if the rule is applicable, is its main purpose. Shape grammars have been used to represent the knowledge behind the creative work of architects, designers and artists and allow the implementation of computational mechanisms to analyze and synthesize designs of visual languages, with obvious applications to design, including for marketing. Their computational mechanisms can include the detection of emergent sub-shapes. The algorithm we propose performs this task and is a core component of a system, described in our past work, that allows users to build their own shape grammars and use them.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-01T00:00:00Z
2023
2024-04-18T10:28:03Z
2025-08-14T00:00:00Z
dc.type.driver.fl_str_mv conference object
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status_str publishedVersion
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url http://hdl.handle.net/10071/29246
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 978-989-33-4792-8
2166-0727
10.23919/CISTI58278.2023.10211829
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