@misc{Koniarski_Konr_Wielo-kadrowa_2010,
 author={Koniarski, Konr},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2010},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={pol},
 abstract={The paper deals with the recognition ofthe same or similar objects in the different movie sequences. The recognition algorithm based on epipolar geometry constraints is presented. This algorithm consists from three main functional blocks. The first block selects characteristic points of the frame using the corner detection methods. The second block employs RANSAC method to eliminate outliners among the selected points that cannot be matched between frames. The last block determines the location of real image points using epipolar geometry as well as the minimization of a distance function. Levenberg - Marquad algorithm is used as optimization method. Moreover the application of the described algorithm in Augmented Reality problems is discussed.},
 type={Text},
 title={Wielo-kadrowa analiza obrazów w zagadnieniach rozszerzonej rzeczywistości},
 URL={http://www.rcin.org.pl/Content/217501/PDF/RB-2010-61.pdf},
}