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Superquadric-based object recognition

Jaka Krivic and Franc Solina (2001) Superquadric-based object recognition. In: Computer Analysis of Images and Patterns CAIP, September 2001, Warsaw.

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    Abstract

    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 three, 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: superquadrics, part-level object modeling, range images
    Language of Content: English
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Vision Laboratory
    Item ID: 168
    Date Deposited: 18 Mar 2005
    Last Modified: 13 Aug 2011 00:32
    URI: http://eprints.fri.uni-lj.si/id/eprint/168

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