@InProceedings{Doubek-Omnivis02,
IS = { zkontrolovano 12 Dec 2003 },
UPDATE  = { 2003-12-12 },
author =   { Doubek, Petr and Svoboda, Tom{\' a}{\v s} },
title =   { Reliable 3D reconstruction from a few catadioptric
images },
year =   { 2002 },
pages =   { 71-78 },
booktitle =   { Proceedings of the IEEE Workshop on
Omnidirectional Vision},
editor =   { Benosman, R. and Mouaddib, E.M. },
publisher =   { IEEE Computer Society },
address =   { Los Alamitos, USA },
isbn =   { 0-7695-1629-7 },
book_pages =   { 143 },
month =   { June },
day =     { 2 },
venue =   { Copenhagen, Denmark },
keywords =   { structure from motion, catadioptric cameras,
triangulation },
project =   { GACR 102/01/0971 Omnidirectional Vision },
annote = { This paper proposes a scheme for the reliable
reconstruction of indoor scenes from few catadioptric images. A
set of hand-detected correspondences are established across (not
necessarily all) images. Our improved method is used for the
estimation of the essential matrix from points which have
appropriately normalized coordinates. Hartley's decomposition is
used for estimation of motion parameters. A heuristic is suggested
for selecting the point pairs which are {\em most reliable\/} for
3D reconstruction. The known mid-point method is applied for
computing the 3D model of a real scene. The parameters of the
catradioptric sensor are approximately known but no precise
self-calibration method is performed. The experiments show that a
reliable 3D reconstruction is possible even without complicated
non-linear self-calibration and/or recontruction methods.},
}