Keyframe Selection for Camera Motion and Structure Estimation from Multiple Views
Date
2004
Authors
Thormaehlen, Thorsten
Broszio, Hellward
Weissenfeld, Axel
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Lecture notes in computer science, 2004; 3021:523-535
Statement of Responsibility
Thorsten Thormählen, Hellward Broszio and Axel Weissenfeld
Conference Name
European Conference on Computer Vision (8th : 2004 : Prague, Czech Republic)
ECCV 2004
ECCV 2004
DOI
Abstract
Estimation 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.
School/Discipline
School of Computer Science
Dissertation Note
Provenance
Description
The original publication is available at www.springerlink.com