Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

Superquadric-Based Object Recognition

Jaka KrivicContact Information and Franc SolinaContact Information

(5)  Faculty of Computer and Information Science Computer Vision Laboratory, University of Ljubljana, Tržaška 25, 1000, Ljubljana, Slovenia
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.

Keywords  superquadrics - part-level object modeling - range images


Contact Information Jaka Krivic
Email: jakak@lrv.fri.uni-lj.si
URL: http://lrv.fri.uni-lj.si

Contact Information Franc Solina
Email: franc@lrv.fri.uni-lj.si
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this chapter
Export this chapter as RIS | Text
 
Remote Address: 38.107.191.105 • Server: mpweb07
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)