NDLI: Flexible method to calibrate projector–camera systems with high accuracy

Content Provider	IET Digital Library
Author	Song, Wei Xie, Xiang Li, Guolin Wang, Zhihua
Abstract	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.
Starting Page	1685
Ending Page	1687
Page Count	3
ISSN	00135194
Volume Number	50
e-ISSN	1350911X
Issue Number	Issue 23, Nov (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/50/23
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.1383
Journal	Electronics Letters
Publisher Date	2014-10-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Background Image Subtraction Process Bayesian Classifier-based Adaptive Filter Belief Network Calibration Camera Checkerboard Calibration Board Computer Vision And Image Processing Technique Converto Electromagnetic Compatibility Error Statistics Flexible Method High-precision Device Human Computer Interaction Image Classification Image Detector Image Recognition Image Sonsor Intensifiers Interference Interference Reduction Interference Suppression Interpolation And Function Approximation Knowledge Engineering Technique Least Mean Squares Method Measurement Standard And Calibration Minimum Error Probability Numerical Analysis Numerical Approximation And Analysis Optical Prisms And Projection System Optical Projectors Printed Pattern Board Probability Theory Projected Pattern Projector–camera System Calibration Pure White Pattern PWP Reprojection Error RMS Root Mean Square Statistics Stochastic Linearised SCUC User InterFace
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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