PT Unknown
AU Youssef El Rhabi
   Simon Loic
   Brun Luc
TI Estimation de la pose d’une caméra à partir d’un flux vidéo en s’approchant du temps réel
BT 15ème édition d'ORASIS, journées francophones des jeunes chercheurs en vision par ordinateur ORASIS2015
PY 2015
DE Augmented Reality; SFM; SLAM; real time pose computation; 2D/3D registration
AB 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.
ER