NDLI: Research on the application of PSO algorithm in non-linear camera calibration

Content Provider	IEEE Xplore Digital Library
Author	Dechao Wang Yaqing Tu Tienan Zhang
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Eng., Logistical Eng. Univ., Chongqing (Dechao Wang; Yaqing Tu; Tienan Zhang)
Abstract	Camera calibration is an indispensable step for medical photogrammetry, augmented reality (AR) or image guided applications where quantitative information should be derived from the images. Non-linear optimization algorithms are widely used in camera calibration in order to obtain precise intrinsic and extrinsic parameters of camera. Due to the traditional optimization algorithms have such problems as being prone to get into local extrema and being susceptive to initial value, in camera calibration. The applications of an improved PSO algorithms used in non-linear camera calibration are studied and the calculation procedure of this method is provided in non-linear camera calibration. Calibration experiment shows that this method can overcome those defects and is an effective calibration method.
Starting Page	4495
Ending Page	4500
File Size	141007
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593647
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Calibration Optimization Particle swarm optimization Computational modeling Mathematical model Pixel PSO algorithm Camera calibration non-linear optimization
Content Type	Text
Resource Type	Article

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