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Rendering real-world objects without 3-D model

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

Abstract

This paper presents a new approach to rendering arbitrary views of real-world objects of complex shapes, captured by a capturing device. We propose to represent an object by a small set of corresponding 2-D views, and to construct any other view as a combination of these views. We show that this combination can be linear, assuming proximity of the views, and we suggest how the visibility of constructed points can be solved. Our approach entirely eliminates the need for the difficult 3-D model reconstruction. We present results on real objects, indicating that our approach is feasible.

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References

  1. I. J. Cox, S. Hingorani, B. M. Maggs, and S. B. Rao. Stereo without regularization. Technical report, NEC Research Institute, Princenton, 4 Independence Way, Princeton, NJ 08540, USA, Oct 21 1992.

    Google Scholar 

  2. O. Faugeras. Three-Dimensional Computer Vision: A Geometric Viewpoint. The MIT Press, 1993.

    Google Scholar 

  3. O. Faugeras and L. Robert. What can two images tell us about a third one? Technical Report 2018, INRIA, France, 1993.

    Google Scholar 

  4. O. D. Faugeras, Q. T. Luong, and S. J. Maybank. Camera self-calibration: Theory and experiments. In European Conference on Computer Vision, pages 321–333, 1992.

    Google Scholar 

  5. B. A. Gennart, B. Krummenacher, L. Landron, and R. D. Hersch. Gigaview parallel image server performance analysis. In World Transputer Congress'94, pages 120–135. IOS Press, September 1994.

    Google Scholar 

  6. B. Gudmundsson and M. Randen. Fast generation of volume projection sequences. Linkoping University, Dept. of Electrical Eng., Sweden, 1991.

    Google Scholar 

  7. I. Chakravarty and H. Freeman. Characteristic views as a basis for three-dimensional object recognition. In Proc. of the Society for Photo-Optical Instrumentation Engineers Conference on Robot Vision, pages 37–45, 1982.

    Google Scholar 

  8. A. Koschan. Methodic evaluation of stereo algorithms. In R. Klette and W. G. Kropatsch, editors, Theoretical Foundations of Computer Vision. Akademie Verlag, 1992.

    Google Scholar 

  9. A. Koschan. What is new in computational stereo since 1989: A survey on current stereo papers. Technical Report 93-22, Technische Universitaet Berlin, 1993.

    Google Scholar 

  10. S. Laveau and O. Faugeras. 3-D scene representation as a collection of images. In Proc. of 12th International Conf. on Pattern Recognition, Jerusalem, Israel, pages 689–691, October 9–13 1994.

    Google Scholar 

  11. J. Liu and R. Skerjanc. Stereo and motion correspondence in a sequence of stereo images. Signal Processing: Image Communication, V(4):305–318, June 1993.

    Google Scholar 

  12. Y. Ohta and T. Kanade. Stereo by intra-and inter-scanline search using dynamic programming. IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(2):139–154, Mar 1985.

    Google Scholar 

  13. A. Shashua. On geometric and algebraic aspects of 3d affine and projective structures from perspective 2d views. Technical Report AI Memo No. 1405, Massachusetts Institute of Technology, Artifical Intelligence Laboratory, July 1993.

    Google Scholar 

  14. R. Skerjanc and J. Liu. Computation of intermediate views for 3dtv. In R. Klette and W. G. Kropatsch, editors, Theoretical Foundations of Computer Vision. Akademie Verlag, 1992.

    Google Scholar 

  15. R. Skerjanc and J. Liu. A three camera approach for calculating disparity and synthesizing intermediate pictures. Signal Processing: Image Communication, 4(1):55–64, 1991.

    Google Scholar 

  16. S. Ullman and R. Basri. Recognition by linear combinations of models. Memo 1152, MIT Artificial Intelligence Laboratory, August 1989.

    Google Scholar 

  17. A. Zakhor and F. Lari. 3d camera motion estimation with applications to video compression and scene reconstruction. In SPIE Symposium on Electronic Imaging, pages 1–14, Dept. of Electrical Eng. and Computer Sciences, University of California, Berkeley CA94720, 1993.

    Google Scholar 

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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Werner, T., Hersch, R.D., Hlavác, V. (1995). Rendering real-world objects without 3-D model. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_291

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  • DOI: https://doi.org/10.1007/3-540-60268-2_291

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

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