DocumentCode
2814999
Title
Two-View Geometry estimation using the Rodrigues Rotation Formula
Author
Sorgi, Lorenzo
Author_Institution
Comput. Vision & Virtual Reality Lab., Italian Aerosp. Res. Centre, Capua, Italy
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
1009
Lastpage
1012
Abstract
The paper presents the applicability of the Rodrigues Rotation Formula (RRF) in the context of Two-Views Geometry estimation. The Epipolar Constraint is usually formulated as the belonging of an image point to its corresponding Epipolar Line, instead using the RRF we will arrange the same constraint in terms of equivalence between 3D unit-norm vectors. This alternative formulation generates a geometrically meaningful error measure, which according to the presented results, provides a significant improvement of the estimation accuracy with respect to the widely used Sampson error, still maintaining a comparable computational cost.
Keywords
geometry; motion estimation; vectors; 3D unit-norm vectors; Rodrigues rotation formula; Sampson error; epipolar constraint; epipolar line; two-view geometry estimation; Cameras; Estimation; Geometry; Measurement uncertainty; Minimization; Three dimensional displays; Vectors; 2-Views Geometry; Calibrated 3D Reconstruction; Camera Egomotion;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6115593
Filename
6115593
Link To Document