Open AccessFlexible method to calibrate projector–camera systems with high accuracy
Author(s) -
Song Wei,
Xie Xiang,
Li Guolin,
Wang Zhihua
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2014.1383
Subject(s) - artificial intelligence , computer vision , reprojection error , pixel , projector , computer science , calibration , background subtraction , process (computing) , mathematics , image (mathematics) , statistics , operating system
A flexible high‐accuracy calibrating method is proposed for projector–camera systems. To reduce the interferences between the projected pattern and printed pattern, a pure white pattern is projected on the printed pattern board as the background image, and then a background subtraction process is applied. Through analysing the remaining noises, a Bayesian classifier‐based adaptive filter is proposed to eliminate them and maximally reserve the information around corners with a minimum error probability to obtain accurate corner correspondences. Without the need for any additional high‐precision devices, this method only uses a checkerboard calibration board. The experiment results show that the maximum reprojection error is <0.4561 pixels and the root mean square of the reprojection error is 0.1422 pixels.