Shape matching and clustering

Lim, Sungwoo and Duffy, Alex H.B. and Lee, Byungsuk (2001) Shape matching and clustering. In: 13th International Conference on Engineering Design (ICED 01), 2001-08-21 - 2001-08-23.

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    Abstract

    Generalising knowledge and matching patterns is a basic human trait in re-using past experiences. We often cluster (group) knowledge of similar attributes as a process of learning and or aid to manage the complexity and re-use of experiential knowledge [1, 2]. In conceptual design, an ill-defined shape may be recognised as more than one type. Resulting in shapes possibly being classified differently when different criteria are applied. This paper outlines the work being carried out to develop a new technique for shape clustering. It highlights the current methods for analysing shapes found in computer aided sketching systems, before a method is proposed that addresses shape clustering and pattern matching. Clustering for vague geometric models and multiple viewpoint support are explored.

    Author(s):Lim, Sungwoo, Duffy, Alex H.B. ORCID logoORCID: https://orcid.org/0000-0002-5661-4314 and Lee, Byungsuk ORCID logoORCID: https://orcid.org/0000-0002-6583-4378
    Item type:Conference or Workshop Item(Paper)
    ID code:6735
    Notes:IMechE Professional Engineering Publishing, pp163-170
    Keywords:classification, machine learning, taxonomies, design engineering, Engineering (General). Civil engineering (General), Engineering design, Engineering(all)
    Subjects:Technology > Engineering (General). Civil engineering (General)
    Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Faculty of Engineering > Architecture
    Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
    Depositing user: Miss Caroline Torres
    Date deposited:14 Aug 2008
    Last modified:13 Nov 2019 01:10
    URI:https://strathprints.strath.ac.uk/id/eprint/6735
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