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Full Screen Touch Detection for the Virtual Touch Screen

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10617))

Abstract

The authors have proposed a virtual touch screen with a projector and a camera. This provides touch buttons besides the main contents both on the projection surface. The camera monitors user’s touch on the buttons. In order to increase a degree of operability equal to touch panels, we present a method that enables touches to be detected at any position within the projected main content, using a depth camera to extract the user’s hand and finger about to touch and an RGB camera to detect the user’s finger touch on the screen. We also show evaluation results on the touching accuracy and processing speed.

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References

  1. Homma, T., Nakajima, K.: Virtual touch screen ‘VIRTOS’ - implementing virtual touch buttons and virtual sliders using a projector and camera. In: 9th International Conference on Computer Vision Theory and Applications (VISAPP2014), vol. 4, pp. 34–43 (2014)

    Google Scholar 

  2. Licsár, A., Szirányi, T.: Hand gesture recognition in camera-projector system. In: Sebe, N., Lew, M., Huang, T.S. (eds.) CVHCI 2004. LNCS, vol. 3058, pp. 83–93. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-24837-8_9

    Chapter  Google Scholar 

  3. Hilario, M.N., Cooperstock, J.R.: Occulusion Detection for Front-Projected Interactive Displays. Pervasive Computing and Advances in Pervasive Computing, Austrian Computer Society (2004)

    Google Scholar 

  4. Haitao, Y., Shuiying, G., Shuman, L.: A touch perception algorithm based on depth information. In: 34th Chinese Control Conference, pp. 3669–3673 (2015)

    Google Scholar 

  5. Jiang, Y., Liu, Y., Matsumaru, T.: Applying infrared radiation image sensor to step-on interface: touched point detection and tracking. In: IEEE/SICE International Symposium on System Integration, pp. 752–757 (2012)

    Google Scholar 

  6. Murugappan, S., Vinayak, Elmqvist, N., Ramani, K.: Extended multitouch: recovering touch posture and differentiating users using a depth camera. In: User Interface Software and Technology 2012, pp. 487–496 (2012)

    Google Scholar 

  7. Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)

    Article  Google Scholar 

  8. Kouchi, M.: AIST Japanese Hand Dimension Data (in Japanese). https://www.dh.aist.go.jp/database/hand/index.html

  9. Suzuki, S., Abe, K.: Topological structural analysis of digitized binary images by border following. Comput. Vis. Graph. Image Process. 30(1), 32–46 (1985)

    Article  MATH  Google Scholar 

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Correspondence to Katsuto Nakajima .

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Nakajima, K., Igarashi, T. (2017). Full Screen Touch Detection for the Virtual Touch Screen. In: Blanc-Talon, J., Penne, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2017. Lecture Notes in Computer Science(), vol 10617. Springer, Cham. https://doi.org/10.1007/978-3-319-70353-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-70353-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70352-7

  • Online ISBN: 978-3-319-70353-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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