Threading fundamental matrices

Shai Avidan; Amnon Shashua

doi:10.1109/34.899947

Threading fundamental matrices

Shai Avidan, Amnon Shashua

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

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 (plane stabilization) across a sequence, and multiview image-based rendering.

Original language	English
Pages (from-to)	73-77
Number of pages	5
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	23
Issue number	1
DOIs	https://doi.org/10.1109/34.899947
State	Published - Jan 2001

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Threading fundamental matrices

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