Improvements of Infrared Touch Screen Calibration Algorithm Based on Affine Transformation

Abstract:

Because the affine transformation can realize the coordinate translation, rotation, scaling, it is applied to calibrate the touch screen. But,requirements for touch errors of Windows 8 is ±0.5mm,and the pass rate of sample point must reach 4%.Therefore, simply use the method of draw-point to collect the sample point has been unable to meet the requirement of accuracy. This paper tries to propose two improved calibration algorithm based on affine transform, one method use drawing lines instead of marking point, the other devides the screen into a plurality of areas to use multiple calibration. This two kind of methods can effectively improve the calibration precision.

• Periodical: Applied Mechanics and Materials (Volumes 716-717)
• Pages: 1341-1345
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.716-717.1341
• Online since: December 2014
• Authors: Wen Ming Guo*, Gang Wang
• Keywords: Affine Transform, Draw-Lines Calibration, Eliminate Errors, Multiple Calibration

References

[1] Wilson, A. PlayAnywhere: A Compact Tabletop Computer Vision System[C]. The ACM Symposium on User Interface Software and Technology, (2005).

DOI: 10.1145/1095034.1095047

[2] Hui Zhang, Weijun Yang. Design and Implementation of Five-point Arithmetic for Calibrating Touch Screen Based on STC MCU[C]. 2011 International Future Computer Science and Education, 2011, 08: 637-640.

DOI: 10.1109/icfcse.2011.159

[3] Weijun Yang, Qingyun Dai, Hui Zhang, Zuihong He. Design and implementation of a kind of five-point arithmetic for calibrating the touch screen based on STC MCU[J]. Instrumentation Costomer. 2008, 15(3): 79-81.

DOI: 10.1109/icfcse.2011.159

[4] Ding Wang, Yao Yan, Tingyu Zhang. Calibration of the Touch Panel[J]. Techniques of Automatic and Applications. 2008, 27(2).

[5] Shijie He. S3C2410-based Touch-screen Driver Development and Calibration Algorithms. Computer Knowledge and Technology. 2010, 6: 5321-5322.

[6] Jiang X H, Duan F H, Guo R. Research on Multi-Point Calibration and Touch Pressure of Touch-Screen[J]. Applied Mechanics and Materials, 2012, 198: 1290-1293.

DOI: 10.4028/www.scientific.net/amm.198-199.1290

[7] Haima Yang, Jun Chen, Lei Miao. Application of Touch screen's Calibration Algorithm Based On Embedded Smart-instrument Design[J]. Optical Instruments, 2010, 32(3).

[8] Yang Xu, Weimin Qiao, Zhong Zhao. The Touch Screen Driver Based On A T91RM9200 and Three-Points Calibration Algorithm. Embedded System & SOC. 2007, 2-2: 73-74.

[9] Wendy Fang, Tony Chang . Calibration in Touch-screen Systems[J]. Texas Instruments Incorporated. 2007, 10.

[10] Hui Lin, Peijun Du, Weichang Zhao. Image registration based on corner detection and affine transformation[C]. 2010 3rd International Congress on Image and Signal Processing, 2010, 10: 2184-2188.

DOI: 10.1109/cisp.2010.5647722

[11] Jiufang Li. A Method of Image Correction Based On the Standard Checkerboard Grids[J]. Equipment for Electronic Products Manufacturing. 2010, 39(11).

[12] Rongbin Xu, Ying Xie, Yonghong Zhu. Usual Algorithm Analyzing of Touch Screen's Calibration[J]. Industrial Control Computer, 2006, 19(4): 77-78.

[13] Yonggang Luo, Dingchun Xia. Research on justified and application about Resistive Touch screen[J]. Journal of Wuhan University of Science And Engineering, 2007, 12.

[14] Fangchao Wang, Sen Bai, Guibin Zhu. An Image Encryption Algorithm Based on N-Dimension Affine Transformation[C]. IEEE/ACIS International Computer and Information Science, 2009, 07: 579-585.

DOI: 10.1109/icis.2009.31