Title :
Threading fundamental matrices
Author :
Avidan, Shai ; Shashua, Amnon
Author_Institution :
Dept. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
fDate :
1/1/2001 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
