Jaka Krivic and Franc Solina (2004) Part-level object recognition using superquadrics. Computer Vision and Image Understanding, 95 (1). pp. 105-126.
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 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 |
|---|
| URI: | http://eprints.fri.uni-lj.si/id/eprint/124 |
|---|
Actions (login required)
![[img]](http://eprints.fri.uni-lj.si/style/images/fileicons/application_pdf.png)
