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Real-Time Multi-Finger Tracking in 3D for a Mouseless Desktop

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Focal-Plane Sensor-Processor Chips

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Abstract

In this chapter, we present a real-time 3D finger tracking system implemented on focal plane chip technology-enabled smart camera computers. The system utilizes visual input from two cameras, executes a model-based tracking and finally computes the 3D coordinate from the 2D projections. A reduced algorithm is also analysed, pros and cons emphasised. Measurements, robustness and auto calibration issues are also exposed.

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References

  1. Liñán, G., Domínguez-Castro, R., Espejo, S., Rodrguez-Vzquez, Á.: ACE16k: A programmable focal plane vision processor with 128 ×128 resolution. In: Proc. Eur. Conf. on Circ. Theory and Design (ECCTD), pp. 345–348. Espoo, Finland (2001)

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  4. Zarándy, Á., Rekeczky, C.: Bi-i: A standalone cellular vision system, Part II. Topographic and non-topographic algorithms and related applications. In: Proc. Int. Workshop on CNNs and their Appl. (CNNA), pp. 10–15. Budapest, Hungary (2004)

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Authors and Affiliations

  1. Faculty of Information Technology, Pázmány University, Práter u. 50/A, Budapest, Hungary

    Norbert Bérci

Authors
  1. Norbert Bérci
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  2. Péter Szolgay
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Corresponding author

Correspondence to Norbert Bérci .

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Editors and Affiliations

  1. Computer & Automation Research Inst., MTA Budapest, Budapest, 1518, Hungary

    Ákos Zarándy

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© 2011 Springer Science+Business Media, LLC

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Bérci, N., Szolgay, P. (2011). Real-Time Multi-Finger Tracking in 3D for a Mouseless Desktop. In: Zarándy, Á. (eds) Focal-Plane Sensor-Processor Chips. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6475-5_13

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  • DOI: https://doi.org/10.1007/978-1-4419-6475-5_13

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-6474-8

  • Online ISBN: 978-1-4419-6475-5

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