| authors |
Cha, Myung Yeol and Gero, John |
| year |
1999 |
| title |
Style Learning: Inductive Generalisation of Architectural Shape Patterns |
| source |
Architectural Computing from Turing to 2000 [eCAADe Conference Proceedings / ISBN 0-9523687-5-7] Liverpool (UK) 15-17 September 1999, pp. 629-644 |
| doi |
https://doi.org/10.52842/conf.ecaade.1999.629
|
| summary |
Art historians and critics have defined the style as common features appeared in a class of objects. Abstract common features from a set of objects have been used as a bench mark for date and location of original works. Common features in shapes are identified by relationships as well as physical properties from shape descriptions. This paper will focus on how the computer recognises common shape properties from a class of shape objects to learn style. Shape representation using schema theory has been explored and possible inductive generalisation from shape descriptions has been investigated. |
| keywords |
Style, Inductive Generalisation, Knowledge Representation, Shape |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (2,667,724 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:55 |
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