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Recovering Camera Motion in a~Sequence of Underwater Images through Mosaicking

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Pattern Recognition and Image Analysis (IbPRIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2652))

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Abstract

A procedure for automatic mosaic construction over long image sequences is presented. This mosaic is used by an underwater vehicle to estimate its motion with respect to the ocean floor. The system exploits texture cues to solve the correspondence problem. The dynamic selection of a reference image extracted from the mosaic improves motion estimation, bounding accumulated error. Experiments with real images are reported.

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References

  1. Szeliski, R.: Image mosaicing for tele-reality applications. In: IEEE Workshop on Applications of Computer Vision, pp. 44–53 (1994)

    Google Scholar 

  2. Gracias, N., Santos-Victor, J.: Underwater video mosaics as visual navigation maps. Computer Vision and Image Understanding 79(1), 66–91 (2000)

    Article  Google Scholar 

  3. Negahdaripour, S., Xu, X., Khamene, A.: A vision system for real-time positioning, navigation and video mosaicing of sea floor imagery in the application of ROVs/AUVs. In: IEEE Workshop on Applications of Computer Vision, pp. 248–249 (1998)

    Google Scholar 

  4. Giachetti, A.: Matching techniques to compute image motion. Image and Vision Computing 18(3), 247–260 (2000)

    Article  Google Scholar 

  5. Jaffe, J.: The domains of underwater visibility. In: SPIE Ocean Optics VIII, pp. 287–293 (1986)

    Google Scholar 

  6. Garcia, R., Cufí, X., Batlle, J.: Detection of matchings in a sequence of underwater images through texture analysis. In: IEEE International Conference on Image Processing, Thessaloniki, Greece, vol. 1, pp. 361–364 (2001)

    Google Scholar 

  7. Garcia, R., Batlle, J., Cufí, X., Amat, J.: Positioning an underwater vehicle through image mosaicking. In: IEEE International Conference on Robotics and Automation, Seoul, Rep. of Korea, vol. 3, pp. 2779–2784 (2001)

    Google Scholar 

  8. Cufí, X., Garcia, R., Ridao, P.: An approach to vision-based station keeping for an unmanned underwater vehicle. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, vol. 1, pp. 799–804 (2002)

    Google Scholar 

  9. Garcia, R., Batlle, J., Cufí, X.: A system to evaluate the accuracy of a visual mosaicking methodology. In: MTS/IEEE OCEANS Conference, Honolulu, Hawaii, vol. 4, pp. 2570–2576 (2001)

    Google Scholar 

  10. Faugeras, O., Toscani, G.: The calibration problem for stereo. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 15–20 (1986)

    Google Scholar 

  11. Harris, C., Stephens, M.: A combined corner and edge detector. In: Alvey Vision Conference, Manchester, U.K., pp. 147–151 (1988)

    Google Scholar 

  12. Laws, K.: Textured image segmentation, Tech. Rep. 940, Image Processing Institute, University of Southern California, Los Angeles, California (1980)

    Google Scholar 

  13. Rousseeuw, P.J., Leroy, A.M.: Robust Regression and Outlier Detection. John Wiley and Sons, New York (1987)

    Book  Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Garcia, R., CufĂ­, X., Ila, V. (2003). Recovering Camera Motion in a~Sequence of Underwater Images through Mosaicking. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_30

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  • DOI: https://doi.org/10.1007/978-3-540-44871-6_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40217-6

  • Online ISBN: 978-3-540-44871-6

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