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Real-time optical markerless tracking for augmented reality applications

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Abstract

Augmented reality (AR) technology consists in adding computer-generated information (2D/3D) to a real video sequence in such a manner that the real and virtual objects appear coexisting in the same world. To get a realistic illusion, the real and virtual objects must be properly aligned with respect to each other, which requires a robust real-time tracking strategy—one of the bottlenecks of AR applications. In this paper, we describe the limitations and advantages of different optical tracking technologies, and we present our customized implementation of both recursive tracking and tracking by detection approaches. The second approach requires the implementation of a classifier and we propose the use of a Random Forest classifier. We evaluated both approaches in the context of an AR application for design review. Some conclusions regarding the performance of each approach are given.

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Acknowledgments

This work has been partially funded under the sixth Framework Programme of the European Union (EU) within the project “IMPROVE”: IST FP6- 004785.

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Authors and Affiliations

  1. VICOMTech, Paseo Mikeletegi, 57, 20009, San Sebastián, Spain

    Iñigo Barandiaran, Céline Paloc & Manuel Graña

Authors
  1. Iñigo Barandiaran
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  2. Céline Paloc
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  3. Manuel Graña
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Corresponding author

Correspondence to Iñigo Barandiaran.

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Barandiaran, I., Paloc, C. & Graña, M. Real-time optical markerless tracking for augmented reality applications. J Real-Time Image Proc 5, 129–138 (2010). https://doi.org/10.1007/s11554-009-0140-2

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  • DOI: https://doi.org/10.1007/s11554-009-0140-2

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