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Evaluation of linear combination of views for object recognition: Chapter 5
Universty College London.
Universty College London.
2007 (English)In: ADVANCES IN INTELLIGENT INFORMATION PROCESSING: Tools and Applications / [ed] B. Chanda and C. A. Murthy, World Scientific Publishing Company , 2007, 85-106 p.Chapter in book (Other academic)
Abstract [en]

In this work, we present a method for model-based recognition of 3d objects from a small number of 2d intensity images taken from nearby, but otherwise arbitrary viewpoints. Our method works by linearly combining images from two (or more) viewpoints of a 3d object to synthesise novel views of the object. The object is recognised in a target image by matching to such a synthesised, novel view. All that is required is the recovery of the linear combination parameters, and since we are working directly with pixel intensities, we suggest searching the parameter space using a global, evolutionary optimisation algorithm combined with a local search method in order efficiently to recover the optimal parameters and thus recognise the object in the scene. We have experimented with both synthetic data and real-image, public databases.

Place, publisher, year, edition, pages
World Scientific Publishing Company , 2007. 85-106 p.
Keyword [en]
intelligent information processing, video compression, remote sensing, Image Processing, Pattern Recognition, International Conference
National Category
Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-52182ISBN: 9812818987 (print)ISBN: 978-9812818980 OAI: oai:DiVA.org:liu-52182DiVA: diva2:280089
Available from: 2010-09-29 Created: 2009-12-08 Last updated: 2010-09-29Bibliographically approved

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Citation style
  • apa
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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