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Modelling of shapes without landmarks
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2003 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The complexity in variation that objects are provided with motivates to consider learning strategies when modeling their shape. This paper evaluates auto-associative neural networks and their application to shape analysis. Previously, such networks have b

Place, publisher, year, edition, pages
2003.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-46151OAI: oai:DiVA.org:uu-46151DiVA: diva2:74059
Available from: 2005-08-26 Created: 2005-08-26 Last updated: 2017-02-08

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http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2749&spage=771

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Bengtsson, Ewert

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CiteExportLink to record
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