Keyframe Selection for Camera Motion and Structure Estimation from Multiple Views

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dc.contributor.authorThormaehlen, Thorstenen
dc.contributor.authorBroszio, Hellwarden
dc.contributor.authorWeissenfeld, Axelen
dc.contributor.conferenceEuropean Conference on Computer Vision (8th : 2004 : Prague, Czech Republic)en
dc.contributor.conferenceECCV 2004en
dc.contributor.schoolSchool of Computer Scienceen
dc.date.issued2004en
dc.descriptionThe original publication is available at www.springerlink.comen
dc.description.abstractEstimation of camera motion and structure of rigid objects in the 3D world from multiple camera images by bundle adjustment is often performed by iterative minimization methods due to their low computational effort. These methods need a robust initialization in order to converge to the global minimum. In this paper a new criterion for keyframe selection is presented. While state of the art criteria just avoid degenerated camera motion configurations, the proposed criterion selects the keyframe pairing with the lowest expected estimation error of initial camera motion and object structure. The presented results show, that the convergence probability of bundle adjustment is significantly improved with the new criterion compared to the state of the art approaches.en
dc.description.statementofresponsibilityThorsten Thormählen, Hellward Broszio and Axel Weissenfelden
dc.identifier.citationLecture notes in computer science, 2004; 3021:523-535en
dc.identifier.doi10.1007/b97865en
dc.identifier.isbn9783540219842en
dc.identifier.issn0302-9743en
dc.identifier.urihttp://hdl.handle.net/2440/43614
dc.publisherSpringeren
dc.relation.ispartofComputer Vision – ECCV 2004: 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004, Proceedings, Part I / Tomas Pajdla, Jirı Matas (eds.)en
dc.titleKeyframe Selection for Camera Motion and Structure Estimation from Multiple Viewsen
dc.typeJournal articleen

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