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

Real-Time Optical Edge and Corner Tracking at Subpixel Accuracy

Stefan Brantner5, Thomas AuerContact Information and Axel Pinz5

(5)  Computer Graphics and Vision, TU Graz Münzgrabenstr. 11, A-8010 Graz, Austria
Abstract
High position and orientation accuracy is required in augmented reality systems.This paper presents an extension to the well known XVision library for real-time tracking. We implement a real-time sub-pixel accuracy edge tracking algorithm estimating edge position and orientation based on “virtual edge” localization in a 5 x 5 window. In addition, we give a simple yet efficient heuristic for identifying corners. Experiments demonstrate results for sub-pixel edge and corner tracking superior to the original XVision primitives.

Keywords  real-time tracking - augmented reality - subpixel accuracy

This work has been supported by the Austrian Science Fund (FWF) under contract number P-12074-MAT. The “Studierstube” is a joint project with the Vienna University of Technology. We want to thank Joachim Steinwendner for his input in designing the sub-pixel tracking algorithm.

Contact Information Thomas Auer
Email: tom@icg.tu-graz.ac.at
URL: http://www.icg.tu-graz.ac.at/~tom/stube/stube.html
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: 38.107.191.107 • Server: mpweb04
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)