Using Recover-and-Select Paradigm on Triangulated Data

Bojan Kverh and Aleš Leonardis and Aleš Jaklič and Franc Solina (1997) Using Recover-and-Select Paradigm on Triangulated Data. In: 6. elektrotehniska in racunalniska konferenca, 25.-27. September, 1997, Portoroz, Slovenia.

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Abstract

We introduce a new approach to segment triangulated data and to extract geometric models out of it. Recover-and-select paradigm successfully accomplishes these tasks when applied to range images. In this work we show that it can successfully be applied also to triangulated data. The key question here is the definition of the point's neighbourhood. This relation can easily be defined when dealing with triangulated data.

Item Type:

Conference or Workshop Item (Paper)

Keywords:

segmentation, range images, parametric models, recover-and-select paradigm

Language of Content:

English

Related URLs:

URL	URL Type
http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=498772)	Alternative location

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Divisions:

Faculty of Computer and Information Science > Computer Vision Laboratory

Item ID:

Date Deposited:

28 Mar 2003

Last Modified:

13 Dec 2013 08:04

URI:

http://eprints.fri.uni-lj.si/id/eprint/54

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