A Depth Measurement System Associated with a Mono-camera and a Rotating Mirror

  • Jaehong Song
  • Sangik Na
  • Hong-Gab Kim 
  • Hyongsuk Kim
  • Chun-shin Lin 
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2532)

Abstract

A novel vision technology to measure the middle-ranged depth with a camera and a plane mirror is proposed. In the image sequence which is taken from a rotating mirror, the speed of pixel movement is higher at the distant objects and slower at the near ones. Utilizing such phenomenon, a new depth measurement scheme is developed and its principle has been investigated. The simpler hardware requirement, the easiness of the pixel matching and the high speed of measurement capability are the advantages of the proposed scheme over the conventional image-based depth measurement technologies. Experimental results are included in this paper.

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References

  1. 1.
    Yakimovsky, Y., Cunningham, R.: A System for extracting three-dimensional measurements from a stereo pair of TV cameras. Computer Graphics and Image Processing, vol. 7, pp. 195–210, 1978.CrossRefGoogle Scholar
  2. 2.
    Eric, W., Grimson, L.: Computational experiments with a feature based stereo algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-7, no. 1, pp. 17–33, Jan. 1985.CrossRefGoogle Scholar
  3. 3.
    Dhond, U. R., Aggarwal, J. K.: Structure from stero-a review. IEEE Trans. on System, Man and Cybernetics, vol. 19, pp. 1489–1510, Nov./ Dec. 1989.Google Scholar
  4. 4.
    Choi, W., Ryu, C., Kim, H.: Navigation of mobile robot using mono-visio and monoaudition. IEEE Computer, vol. 22, No. 6, pp. 46–57, 1989.Google Scholar
  5. 5.
    Goshtasby, A., Gruver, W.: Design of a single-lens stereo camera system. Pattern Recognition, vol. 26, no. 6, pp. 923–937, 1993.CrossRefGoogle Scholar
  6. 6.
    Zhuang, H., Sudhakar, R., Shieh, J.: Depth estimation from a sequence of monocular images with known camera motion. Robotics and Autonomous Systems, vol. 13, pp. 87–95, 1994.CrossRefGoogle Scholar
  7. 7.
    Marioli, D., Narduzzi, C.: Digital time of flight measurement for ultrasonic sensors. IEEE Trans. Instrum. Meas., vol.41, no. 1, pp. 93–97, 1992.CrossRefGoogle Scholar
  8. 8.
    Amann, M. C., Bosch, T., Lescure, M., Myllyla, R., Rioux, M.: Laser ranging: a critical review of usual techniques for distance measurement. Optical Engineering, vol.40, (no.1), SPIE, pp.10–19, Jan. 2001.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Jaehong Song
    • 1
  • Sangik Na
    • 2
  • Hong-Gab Kim 
    • 3
  • Hyongsuk Kim
    • 2
  • Chun-shin Lin 
    • 4
  1. 1.Blue code technology Co. Ltd.USA
  2. 2.School of Electronics and Information EngChonbuk National Univ.Korea
  3. 3.Spatial Imagery Information Research Team, Computer & Software LaboratoryElectronics and Telecommunications Research InstituteUSA
  4. 4.Dept. of Electrical EngUniversity of MissouriColumbiaUSA

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