Two-view Geometry Estimation Unaffected by a Dominant Plane
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03109918" target="_blank" >RIV/68407700:21230/05:03109918 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Two-view Geometry Estimation Unaffected by a Dominant Plane
Original language description
A RANSAC-based algorithm for robust estimation of epipolar geometry from point correspondences in the possible presence of a dominant scene plane is presented. The algorithm handles scenes with (i) all points in a single plane, (ii) majority of points ina single plane and the rest off the plane, (iii) no dominant plane. It is not required to know a priori which of the cases (i) - (iii) occurs. The algorithm exploits a theorem we proved, that if five or more of seven correspondences are related by a homography then there is an epipolar geometry consistent with the seven-tuple as well as with all correspondences related by the homography. This means that a seven point sample consisting of two outliers and five inliers lying in a dominant plane producesan epipolar geometry which is completely wrong and yet consistent with a high number of correspondences. The theorem explains why RANSAC often fails to estimate epipolar geometry in the presence of a dominant plane. Rather surprisingly, t
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/1ET101210406" target="_blank" >1ET101210406: Automatic 3D Virtual Model Builder from Photographs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR)
ISBN
0-7695-2372-2
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
772-780
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
San Diego
Event date
Jun 20, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—