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