NDLI: Experimental Study on Camera Calibration and Pose Estimation for the Application to Vehicle's Wheel Alignment

Content Provider	IEEE Xplore Digital Library
Author	Mun-Soo Park Ji-Wook Kwon MinHo Park Jung Su Kin Suk-Kyo Hong Sang Wan Han
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Ajou Univ., Suwon (Mun-Soo Park; Ji-Wook Kwon; MinHo Park; Jung Su Kin; Suk-Kyo Hong)
Abstract	In this paper, we discuss about the experimental results of camera calibration and pose estimation for the application to vehicle's wheel alignment system using single camera. At first, we define a camera model for the camera system considered. For this model which consists of a linear part (ideal pinhole camera model) and a nonlinear part (lens distortion model), we drive a systematic and iterative calibration algorithm and pose estimation algorithm. In addition, we develop a coordinate matching algorithm which calculates matched sequence of order in both extracted image coordinate and object coordinate for non-interactive calibration and pose estimation. Based on the results of calibration, we also develop a camera simulator to confirm the results of calibration and compare the results of simulations with those of experiments in pose estimation
Starting Page	2952
Ending Page	2957
File Size	5853315
Page Count	6
File Format	PDF
ISBN	8995003847
DOI	10.1109/SICE.2006.314911
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	The Institute of Control, Automation and Systems
Subject Keyword	Cameras Calibration Wheels Nonlinear distortion Parameter estimation Lenses Iterative algorithms Robot vision systems Machine vision Data mining nonlinear parameter estimation Camera calibration pose estimation wheel alignment
Content Type	Text
Resource Type	Article

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