Self-Adaptive Illumination Method for Optical Multi-Touch System

Article Preview

Abstract:

The uneven illumination distribution would affect the accuracy and stability of an optical multi-touch system. In this paper, different self-adaptive methods based on the type of interference source are integrated. When the ambient lighting changes, the luminance of the captured image will changes accordingly. This method tests the type of interference source by the speed and the region of ambient lighting change, and uses different function to update the background image rapidly. Experimental results show that with the help of the presented solutions, the ghost points are efficiently reduced and the system can adapt to the changes of ambient lighting in only 1 second.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 480-481)

Pages:

1463-1468

Citation:

Online since:

June 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Çetin G, Bedi R, –Sandler S, Multi-Touch Technologies, NUI Group, 1-25 (2009).

Google Scholar

[2] Han Jeff Y, Low Cost Multi-Touch Sensing through Frustrated Total Internal Reflection, Symposium on User Interface Software and Technology: Proceedings of the 18th annual ACM symposium on User interface software and technology, 115-118(2005).

DOI: 10.1145/1095034.1095054

Google Scholar

[3] Dietz P, Leigh D. DiamondTouch: A Mul-ti-User Touch Technology. ACM UIST. pp.219-226 (2001).

Google Scholar

[4] Grossman T, Wigdor D, Balakrishnan R. Multi-Finger Gestural Interaction with 3D Volumetric Displays. ACM UIST. p.61–70(2004).

DOI: 10.1145/1186822.1073287

Google Scholar

[5] Wilson A. TouchLight: An Imaging Touch Screen and Display for Gesture-Based Interaction. ICMI Conference on Multimodal Interfaces. p.69–76(2004).

DOI: 10.1145/1027933.1027946

Google Scholar

[6] Cao J, Li L, The Research on Vehicle Flow Detection in Complex Scenes, International Workshop on Education Technology and Computer Science, 154-158 (2009).

Google Scholar

[7] He Y H, Wang H, Zhang B, Background Updating In Illumination-Variant Scenes, Intelligent Transportation Systems, 515-519(2003).

DOI: 10.1109/itsc.2003.1252006

Google Scholar

[8] Wei J X, Ye G T, Pickering M, Michael Frater, John Arnold, Robust and self-adaptive background extraction in video object change detection, , Proc. SPIE 5203, 142 (2003).

DOI: 10.1117/12.506546

Google Scholar

[9] Xia W C, Zheng Z Y, Background Update Algorithm Based on Kalman Filtering, Computer Technology And Development, 17(10), 134-136(2007).

Google Scholar