JISE


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Journal of Information Science and Engineering, Vol. 24 No. 4, pp. 1197-1211


A Robust and Accurate Calibration Method by Computer Vision Techniques for Coordinate Transformation between Display Screens and Their Images


Sheng-Wen Jeng and Wen-Hsiang Tsai+,#
+Department of Computer Science 
National Chiao Tung University 
Hsinchu, 300 Taiwan 
#Department of Computer Science and Information Engineering 
Asia University 
Taichung, 413 Taiwan


    A robust and accurate calibration method for coordinate transformation between display screens and their images is proposed. The images of three specially designed calibration patterns, which are a white rectangle, a black rectangle, and a dot matrix, are captured and processed sequentially to assist achieving robust extraction of relevant features from the calibration pattern images, especially the border features in the image of the display screen. Image analysis techniques of deformable template matching, local thresholding, and inverse distance-weighted interpolation are integrated to perform feature extraction and coordinate transformation to complete the calibration work. Good performance of the proposed method is demonstrated by comparing the experimental results of the method with those of a well-known calibration method.


Keywords: calibration, coordinate transformation, dot-matrix pattern, landmark, deformable template matching, inverse distance-weighted interpolation

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