NDLI: Estimating motion and structure from line matches: performance obtained and beyond

Content Provider	IEEE Xplore Digital Library
Author	Weng, J. Huang, T.S. Ahuja, N.
Copyright Year	1990
Description	Author affiliation: Comput. Res. Inst. of Montreal, Que., Canada (Weng, J.)
Abstract	The performance issues of estimating motion and structure from line correspondences are studied. An approach to optimal estimation of motion and structure using line correspondences is presented. To minimize the expected errors in the estimated parameters, it is necessary to minimize the matrix-weighted discrepancy between the computed lines and the observed lines. In order to reliably reach the global minimum solution, a closed-form solution is computed and then used as the initial starting condition for an iterative optimal estimation algorithm. Simulation results show that, in the presence of noise, the accuracy of the optimal solution is not only considerably better than that of the closed-form solutions, but it has also reached a level that it is comparable with that of point-based optimal algorithms. Simulations also show that the error of the optimal solution is close to a theoretical lower error bound, the Cramer-Rao bound, which implies that there exists little room for accuracy improvement beyond the performance obtained.
Starting Page	168
Ending Page	172
File Size	557828
Page Count	5
File Format	PDF
ISBN	0818620625
DOI	10.1109/ICPR.1990.118083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-06-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Closed-form solution Redundancy Iterative algorithms Parameter estimation Computational modeling Noise level Layout Motion analysis Image motion analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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