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Image-Based Information Guide on Mobile Devices

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Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

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Abstract

We present a prototype of an information guide system to be used outdoor in our campus. It allows a user to find places of interest (e.g., lecture halls and libraries) using a camera phone. We use a database of panoramic views of campus scenes tagged by GPS locations, which can diminish overlapping between views. Panoramic views with the closest locations with the query view are acquired. We exploit a wide-baseline matching technique to match between views. However, due to dissimilarity in viewpoints and presence of repetitive structures, a vast percentage of matches could be false matches. We propose a verification model to effectively eliminate false matches. The true correspondences are chosen for pose recovery and information is then projected onto the image. The system is validated by extensive experiments, with images taken in different seasons, weather, illumination conditions, etc.

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References

  1. Berg, A.C., Berg, T.L., Malik, J.: Shape matching and object recognition using low distortion correspondences. In: CVPR, pp. 26–33 (2005)

    Google Scholar 

  2. Lee, J.A., Yow, K.C.: Image recognition for mobile applications. In: ICIP, vol. VI, pp. 177–180 (2007)

    Google Scholar 

  3. Katsura, H., Miura, J., Hild, M., Shirai, Y.: A view-based outdoor navigation using object recognition robust to changes of weather and seasons. In: IROS, pp. 2974–2979 (2003)

    Google Scholar 

  4. Li, S.: Localization along routes based upon iconic and global positioning system information in large-scale outdoor environments. Advanced Robotics 15, 749–762 (2001)

    Article  Google Scholar 

  5. Se, S., Lowe, D.G., Little, J.: Mobile robot localization and mapping with uncertainty using scale-invariant visual landmarks. IJRR 21, 735–758 (2002)

    Google Scholar 

  6. Wang, J., Zha, H., Cipolla, R.: Coarse-to-fine vision-based localization by indexing scale-invariant features. TSMC 36, 413–422 (2006)

    Google Scholar 

  7. Robertson, D., Cipolla, R.: An image-based system for urban navigation. In: BMVC, pp. 260–272 (2004)

    Google Scholar 

  8. Goedeme, T., Tuytelaars, T., Gool, L.V.: Fast wide baseline matching for visual navigation. In: CVPR, pp. 24–29 (2004)

    Google Scholar 

  9. Zhang, W., Kosecka, J.: Localization based on building recognition. In: CVPR, p. 21 (2005)

    Google Scholar 

  10. Zhang, W., Kosecka, J.: Image based localization in urban environments. In: 3DPVT, pp. 33–40 (2006)

    Google Scholar 

  11. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV 60, 91–110 (2004)

    Article  Google Scholar 

  12. Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. PAMI 27, 1615–1630 (2005)

    Article  Google Scholar 

  13. Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. In: ECCV, pp. 683–695 (1996)

    Google Scholar 

  14. Sluzek, A.: On moments-based local operators for detecting image patterns. IVC 23, 287–298 (2005)

    Article  Google Scholar 

  15. Brown, M., Lowe, D.G.: Invariant features from interest point groups. In: BMVC, pp. 656–665 (2002)

    Google Scholar 

  16. Mikolajczyk, K., Schmid, C.: An affine invariant interest points detector. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 128–142. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  17. Tuytelaars, T., Van-Gool, L.: Wide baseline stereo based on local, affinely invariant regions. In: BMVC, pp. 412–422 (2000)

    Google Scholar 

  18. Mitchell, T.M.: Machine Learning. McGraw-Hill, New York (1997)

    MATH  Google Scholar 

  19. Shao, H., Svoboda, T., Van-Gool, L.: Zubud-zurich buildings database for image based recognition. Technical Report 260, Swiss Federal Institute of Technology (2003)

    Google Scholar 

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Lee, J.A., Yow, KC., Sluzek, A. (2008). Image-Based Information Guide on Mobile Devices. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_34

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  • DOI: https://doi.org/10.1007/978-3-540-89646-3_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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