@InProceedings{YoussefElRhabi2015,
author="Youssef El Rhabi
and Simon Loic
and Brun Luc",
title="Estimation de la pose d{\textquoteright}une cam{\'e}ra {\`a} partir d{\textquoteright}un flux vid{\'e}o en s{\textquoteright}approchant du temps r{\'e}el",
booktitle="15{\`e}me {\'e}dition d{\textquoteright}ORASIS, journ{\'e}es francophones des jeunes chercheurs en vision par ordinateur ORASIS2015",
year="2015",
optkeywords="Augmented Reality",
optkeywords="SFM",
optkeywords="SLAM",
optkeywords="real time pose computation",
optkeywords="2D/3D registration",
abstract="Finding a way to estimate quickly and robustly the pose of an image is essential in augmented reality. Here we will discuss the approach we chose in order to get closer to real time by using SIFT points [4]. We propose a method based on filtering both SIFT points and images on which to focus on. Hence we will focus on relevant data.",
optnote="DAG; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2626), last updated on Thu, 12 May 2016 13:56:18 +0200",
opturl="https://hal.archives-ouvertes.fr/ORASIS2015/hal-01161832",
file=":http://refbase.cvc.uab.es/files/RLL2015.pdf:PDF"
}