What’s in a shape: An algorithm for finding shapes in shapes
Main Author: | |
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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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/29246 |
url |
http://hdl.handle.net/10071/29246 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-989-33-4792-8 2166-0727 10.23919/CISTI58278.2023.10211829 |
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info:eu-repo/semantics/embargoedAccess |
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embargoedAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
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