Jaka Krivic and Franc Solina (2004) Part-level object recognition using superquadrics. Computer Vision and Image Understanding, 95 (1). pp. 105-126.
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 interpretation trees, the presence of an object from the model database can be hypothesized. These hypotheses are verified by projecting and re-fitting the object model to the range image of the scene which at the same time enables a better localization of the object in the scene.
|Item Type: ||Article|
|Keywords: ||superquadrics, part-level object modelling, range images, object recognition|
|Language of Content: ||English|
|Related URLs: |
|Institution: ||University of Ljubljana|
|Department: ||Faculty of Computer and Information Science|
|Divisions: ||Faculty of Computer and Information Science > Computer Vision Laboratory|
|Item ID: ||124|
|Date Deposited: ||08 Jul 2004|
|Last Modified: ||10 Dec 2013 14:42|
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