Jaka Krivic and Franc Solina (2001) Superquadric-based Object Recognition. In: Computer Analysis of Images and Patterns, 9th International Conference, CAIP 2001, September 5-7, 2001, Warsaw, Poland.
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 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) |
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| Keywords: | object recognition, superquadrics, part-level object model |
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| Language of Content: | English |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Computer Vision Laboratory |
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| Item ID: | 32 |
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| Date Deposited: | 21 Jan 2003 |
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| Last Modified: | 12 Dec 2013 13:46 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/32 |
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