NDLI: Robust camera parameter estimation using genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Hati, S. Sengupta, S.
Copyright Year	1999
Description	Author affiliation: Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, India (Hati, S.)
Abstract	We propose a genetic algorithm based approach to determine the external parameters of the camera from the knowledge of a given set of points in object space. We study the effect of noise and presence of outliers, resulting from incorrect correspondences between the object space points and the image space points, on the estimation of three translation parameters and two rotational parameters of a camera. The average of the magnitudes of the translation errors varies from 2.25 cm. to 5 mm. and the average of the magnitudes of the rotational errors varies from 0.9 degree to 0.25 degree at 20 dB SNR. The error in parameter estimation is insignificant up to 3 pairs of mismatched points out of 20 points in object space and skyrockets when 4 or more pairs of points are mismatched. These results have clearly established the robustness of genetic algorithm in external camera parameter estimation.
Starting Page	943
Ending Page	947
File Size	478688
Page Count	5
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.812537
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Parameter estimation Genetic algorithms Calibration Computer vision Space technology Genetic engineering Noise robustness Focusing Iterative methods
Content Type	Text
Resource Type	Article

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