DocumentCode
3298272
Title
Multiple view geometry of non-planar algebraic curves
Author
Kaminski, J. Yermiyahu ; Fryers, Michael ; Shashua, Amnon ; Teicher, Mina
Author_Institution
Dept. of Math. & Comput. Sci., Bar-Ilan Univ., Ramat-Gan, Israel
Volume
2
fYear
2001
fDate
2001
Firstpage
181
Abstract
We introduce a number of new results in the context of multi-view geometry from general algebraic curves. We start with the derivation of the extended Kruppa´s equations which are responsible for describing the epipolar constraint of two projections of a general (non-planar) algebraic curve. As part of the derivation of those constraints we address the issue of dimension analysis and as a result establish the minimal number of algebraic curves required for a solution of the epipolar geometry as a function of their degree and genus. We then establish new results on the reconstruction of general algebraic curves from multiple views. We address three different representations of curves: (i) the regular point representation for which we show that the reconstruction from two views of a curve of degree d admits two solutions, one of degree d and the other of degree d(d-1), (ii) the dual space representation (tangents) for which we derive a lower bound for the number of views necessary for reconstruction as a function of the curve degree and genus, and (iii) a new representation (to computer vision) based on the set of lines meeting the curve which does not require any curve fitting in image space, for which we also derive lower bounds for the number of views necessary for reconstruction as a function of the curve degree alone
Keywords
computer vision; curve fitting; image representation; algebraic curve; computer vision; curve degree; curve fitting; dimension analysis; dual space representation; epipolar constraint; extended Kruppa´s equations; image space; lower bound; lower bounds; multiple view geometry; nonplanar algebraic curves; regular point representation; Computer science; Computer vision; Geometry; Image reconstruction; Layout; Machinery; Mathematics; Sparse matrices; Surface reconstruction; Transmission line matrix methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7695-1143-0
Type
conf
DOI
10.1109/ICCV.2001.937622
Filename
937622
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