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Projective Illumination Technique in Unprepared Environments for Augmented Reality Applications

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Book cover Security-Enriched Urban Computing and Smart Grid (SUComS 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 78))

Abstract

Most augmented reality (AR) applications in prepared environments implement illumination mechanisms between real and synthetic objects to achieve best results. This approach is beneficial to tracking technologies since additional visual cues provide seamless real-synthetic world integration. This research focuses on providing a projective illumination technique to aid augmented reality tracking technologies that work in unprepared environments where users are not allowed to modify the real environment, such as in outdoor applications. Here, we address the specific aspects of the common illumination problems such as efficient update of illumination for moving objects and camera calibration, rendering, and modeling of the real scene. Our framework aims to lead AR applications in unprepared environments with projective illumination regardless of the movement of real objects, lights and cameras.

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References

  1. Azuma, R.: A survey of augmented reality. Presence: Teleoperators and Virtual Environments 6, 335–385 (1997)

    Article  Google Scholar 

  2. State, A., Hirota, G., Chen, D., Garrett, B., Livingston, M.: Superior augmented reality registration by integrating landmark tracking and magnetic tracking. In: Proceedings of SIGGRAPH 1996, pp. 429–438 (1996)

    Google Scholar 

  3. Neumann, U., Cho, Y.: A self-tracking augmented reality system. In: Proceedings of ACM Virtual Reality Software and Technology, pp. 109–115 (1996)

    Google Scholar 

  4. Feiner, S., MacIntyre, B., Hollerer, T.: A touring machine: prototyping 3D mobile augmented reality systems for exploring the urban environment. In: Proceedings of First International Symposium on Wearable Computers, pp. 74–81 (1997)

    Google Scholar 

  5. Fournier, A., Gunawan, A.S., Romanzin, C.: Common illumination between real and computer generated scenes. In: Proceedings of Graphics Interface 1993, pp. 254–262. Morgan Kaufmann, San Francisco (1993)

    Google Scholar 

  6. Debevec, P.E., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: Proceedings of SIGGRAPH 1997, pp. 369–378 (1997)

    Google Scholar 

  7. Drettakis, G., Robert, L., Bougnoux, S.: Interactive common illumination for computer augmented reality. In: Eurographics Rendering Workshop 1997, pp. 45–56 (1997)

    Google Scholar 

  8. Robert, L.: Camera calibration without feature extraction. Computer Vision, Graphics, and Image Processing 63(2), 314–325 (1995)

    Article  Google Scholar 

  9. Tsai, R.Y.: A versatile camera calibration technique for high accuracy machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)

    Article  Google Scholar 

  10. Debevec, P.: Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In: Proceedings of SIGGRAPH 1998, pp. 189–198 (1998)

    Google Scholar 

  11. Heidrich, W., Seidel, H.P.: Realistic, hardware-accelerated shading and lighting. In: Proceedings of SIGGRAPH 1999, pp. 171–178 (1999)

    Google Scholar 

  12. Nakamae, E., Harada, K., Ishizaki, T., Nishita, T.: A montage method: The overlaying of the computer generated images onto a background photograph. In: Computer Graphics Proceedings of SIGGRAPH 1986, vol. 20(4), pp. 207–214 (1986)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Cagalaban, G., Kim, S. (2010). Projective Illumination Technique in Unprepared Environments for Augmented Reality Applications. In: Kim, Th., Stoica, A., Chang, RS. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2010. Communications in Computer and Information Science, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16444-6_3

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  • DOI: https://doi.org/10.1007/978-3-642-16444-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16443-9

  • Online ISBN: 978-3-642-16444-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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