DocumentCode :
2689824
Title :
Using conic correspondences in two images to estimate the epipolar geometry
Author :
Kah, Fredrik ; Heyden, Anders
Author_Institution :
Dept. of Math., Lund Univ., Sweden
fYear :
1998
fDate :
4-7 Jan 1998
Firstpage :
761
Lastpage :
766
Abstract :
In this paper it is shown hour corresponding conics in two images can be used to estimate the epipolar geometry in terms of the fundamental/essential matrix. The corresponding conics can, be images of either planar celtics or silhouettes of quadrics. It is shown that one conic correspondence gives two independent constraints on the fundamental matrix and a method to estimate the fundamental matrix from at least four corresponding conics is presented. Furthermore, a new type of fundamental matrix for describing conic correspondences is introduced. Finally, it is shown that the problem of estimating the fundamental matrix from 5 point correspondences and 1 conic correspondence in general has 10 different solutions. A method to calculate these solutions is also given together with an experimental validation
Keywords :
computational geometry; computer vision; motion estimation; conic correspondences; epipolar geometry; fundamental matrix; image estimation; planar celtics; quadrics; silhouettes; Councils; Curve fitting; Equations; Geometry; Image reconstruction; Polynomials; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1998. Sixth International Conference on
Conference_Location :
Bombay
Print_ISBN :
81-7319-221-9
Type :
conf
DOI :
10.1109/ICCV.1998.710803
Filename :
710803
Link To Document :
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