NDLI: Recursive structure and motion estimation from noisy uncalibrated video sequences

Content Provider	IEEE Xplore Digital Library
Author	Huynh, D.Q. Heyden, A.
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Software Eng., Univ. of Western Australia, Crawley, WA (Huynh, D.Q.) \|\| Sch. of Technol. & Soc., Malmo Univ., Malmo (Heyden, A.)
Abstract	This paper builds on a novel framework of hybrid matching constraints for estimation of structure and recovery of camera focal length and motion, combining the advantages of both discrete and continuous methods. Our recursive method can deal with both image noise and outliers. The system is an extension of the epipolar hybrid matching constraints in conjunction with a simple structure estimation scheme using standard triangulation. The extension enables the system to deal with varying focal length of the camera. The structure obtained from some previous image frames is used to improve estimates of the camera focal length and motion for the current image frame. These are, in turn, used to refine the structure. Finally, a RANSAC outlier rejection scheme is employed to reject outlier tracks, inevitably obtained from any tracker. The performance of the proposed system is demonstrated on simulated experiments.
Starting Page	1
Ending Page	5
File Size	356537
Page Count	5
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761489
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Video sequences Cameras State estimation Layout Parameter estimation Tracking Computer science Software engineering Australia
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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