DocumentCode
1432783
Title
Threading fundamental matrices
Author
Avidan, Shai ; Shashua, Amnon
Author_Institution
Dept. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
Volume
23
Issue
1
fYear
2001
fDate
1/1/2001 12:00:00 AM
Firstpage
73
Lastpage
77
Abstract
We present a new function that operates on fundamental matrices across a sequence of views. The operation, we call “threading”, connects two consecutive fundamental matrices using the trifocal tensor as the connecting thread. The threading operation guarantees that consecutive camera matrices are consistent with a unique 3D model, without ever recovering a 3D model. Applications include recovery of camera ego-motion from a sequence of views, image stabilization across a sequence, and multi-view image based rendering
Keywords
computer vision; image restoration; image sequences; matrix algebra; motion estimation; camera matrices; fundamental matrix threading; image sequences; image stabilization; motion estimation; multiview geometry; rendering; structure form motion; trifocal tensor; Cameras; Geometry; H infinity control; Joining processes; Layout; Recursive estimation; Rendering (computer graphics); Tensile stress; Transmission line matrix methods; Yarn;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.899947
Filename
899947
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