Part-level object recognition using superquadrics

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Part-level object recognition using superquadrics
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.
Jaka Krivic, Franc Solina
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2004
Where CVIU
Authors Jaka Krivic, Franc Solina
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