Threading fundamental matrices

Shai Avidan, Amnon Shashua

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 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 Trilinear 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 multi-view image-based rendering.

Original languageEnglish
Title of host publicationComputer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings
EditorsBernd Neumann, Hans Burkhardt
PublisherSpringer Verlag
Pages124-140
Number of pages17
ISBN (Print)3540645691, 9783540645696
DOIs
StatePublished - 1998
Event5th European Conference on Computer Vision, ECCV 1998 - Freiburg, Germany
Duration: 2 Jun 19986 Jun 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1406
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th European Conference on Computer Vision, ECCV 1998
Country/TerritoryGermany
CityFreiburg
Period2/06/986/06/98

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1998.

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