Computer Science
Scientific paper
Jan 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.5633..371y&link_type=abstract
Advanced Materials and Devices for Sensing and Imaging II. Edited by Wang, Anbo; Zhang, Yimo; Ishii, Yukihiro. Proceedings of
Computer Science
Scientific paper
A high accuracy and flexible method for calibrating intrinsic parameters of CCD camera is presented. The intrinsic parameters of camera is determined from collinear constraint and computed through bundle adjustment algorithm. Calibration is carried out by moving an optical feature point with CMM and forming a virtual stereo calibration board. The images of this virtual board are taken by the calibrated camera which in different locations and orientations. Due to take infrared LED as feature point and the light intensity of these feature points can be automatically controlled according to the distance between camera and feature point, the imaging feature points have uniform intensity profile and high contrast with background, and hence the calibration accuracy is improved. This method has been used for calibrating the Kodak MegaPlus 1.4i CCD cameras, which used in large-scale stereo vision coordinate online measurement system, and obtained higher measurement precision.
Che Rensheng
Li Jinze
Li Zhihong
Ma Jiwei
Ma Yuquan
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