Pose estimation from airborne video sequences using a structural approach for the construction of homographies and fundamental matrices

Eckart Michaelsen, Uwe Stilla

Publikation: Beitrag in Buch/Bericht/KonferenzbandKapitelBegutachtung

3 Zitate (Scopus)

Abstract

A structural knowledge-based search method is utilized for the estimation of geometric transforms from airborne video sequences. Examples are projective planar homographies and constraints such as the fundamental matrix. These estimations are calculated from correspondences of interest points be.tween two images. Different approaches are discussed to cope with the problem of outlier-correspondences. To ensure any-time performance the search process is implemented in a data-driven production system. The pose estimation from planar homographies is compared to estimations from fundamental matrices. A fusion of both approaches is proposed. The image processing is performed by bottom-up structural analysis using an assessment-driven control. Examples are from the thermal spectral domain.

OriginalspracheEnglisch
TitelLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Redakteure/-innenAna Fred, Terry Caelli, Robert P.W. Duin, Dick de Ridder, Aurelio Campilho
Herausgeber (Verlag)Springer Verlag
Seiten486-494
Seitenumfang9
ISBN (Print)9783540225706
DOIs
PublikationsstatusVeröffentlicht - 2004

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band3138
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

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