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Part-level object recognition

Jaka Krivic and Franc Solina (2002) Part-level object recognition. In: VIPromCom-2002, 16-19 June 2002, Zadar, Croatia.

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    This paper proposes a technique for object recognition using superquadric built models. Superquadrics, which are three dimensional models suitable for part-level representation of objects, are reconstructed from range images using the recover-and-select paradigm. Using an interpretation tree, the presence of an object in the scene from the model database can be hypothesized. These hypotheses are verified by projecting and re-fitting the object model to the range image which at the same time enables a better localization of the object in the scene.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: object recognition, part-level, superelipsoids
    Language of Content: English
    Related URLs:
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    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=3252052)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Vision Laboratory
    Item ID: 122
    Date Deposited: 08 Jul 2004
    Last Modified: 12 Dec 2013 09:39
    URI: http://eprints.fri.uni-lj.si/id/eprint/122

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