DocumentCode
2533804
Title
About the correspondences of points between N images
Author
Faugeras, O. ; Mourrain, B.
Author_Institution
Inst. Nat. de Recherche en Inf. et Autom., Sophia- Antipolis, France
fYear
1995
fDate
34874
Firstpage
37
Lastpage
44
Abstract
We analyze the correspondence of points between an arbitrary number of images, from an algebraic and geometric point of view. We use the formalism of the Grassmann-Cayley algebra as the simplest way to make both geometric and algebraic statements in a very synthetic and effective way (i.e. allowing actual computation if needed). We propose a systematic way to describe the algebraic relations which are satisfied by the coordinates of the images of a 3D point. They are of three types: bilinear relations arising when we consider pairs of images among the N and which are the well-known epipolar constraints, trilinear relations arising when we consider triples of images among the N, and quadrilinear relations arising when we consider four-tuples of images among the N. Moreover, we show how two trilinear relations imply the bilinear ones (i.e. the epipolar constraints). We also show how these trilinear constraints can be used to predict the image coordinates of a point in a third image, given the coordinates of the images in the other two images, even in cases where the prediction by the epipolar constraints fails (points in the trifocal plane, or optical centers aligned). Finally, we show that the quadrilinear relations are in the ideal generated by the bilinearities and trilinearities, and do not bring in any new information. This completes the algebraic description of correspondence between any number of cameras
Keywords
algebra; computational geometry; image sequences; stereo image processing; Grassmann-Cayley algebra; algebraic relations; bilinear relations; cameras; computation; epipolar constraints; geometric; image coordinates; image point correspondence; invariants; multiple camera stereo; quadrilinear relations; trilinear relations; Algebra; Cameras; Ear; Geometrical optics; Geometry; Image reconstruction; Object recognition; Pain; Retina; Stereo image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Representation of Visual Scenes, 1995. (In Conjuction with ICCV'95), Proceedings IEEE Workshop on
Conference_Location
Cambridge, MA
Print_ISBN
0-8186-7122-X
Type
conf
DOI
10.1109/WVRS.1995.476850
Filename
476850
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