Advertisement

Adaptive Space Carving with Texture Mapping

  • Yoo-Kil Yang
  • Jung Lee
  • Soo-Kyun Kim
  • Chang-Hun Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3482)

Abstract

Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.

Keywords

Target Object Source Image Texture Mapping Foreground Pixel Visual Hull 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adelson, E.H., Bergen, J.R.: The plenoptic function and the elements of early vision. Computational Models of Visual Processing, 3–20 (1991)Google Scholar
  2. 2.
    Broadhurst, A., Cipolla, R.: A statistical consistency check for the space carving algorithm. In: Proc. 11th British Machine Vision Conference, pp. 282–291 (2000)Google Scholar
  3. 3.
    Matusik, W., Buehler, C., Raskar, R., Gortler, S.J., McMillan, L.: Image-based visual hulls. In: Proc. SIGGRAPH 2000, pp. 369–374 (2000)Google Scholar
  4. 4.
    Seitz, S.M., Dyer, C.R.: Photorealistic scene reconstruction by voxel coloring. International Journal of Computer Vision, 151–173 (1999)Google Scholar
  5. 5.
    Seitz, S.M., Kutulakos, K.N.: Plenoptic image editing. In: Proc. 6th International Conference of Computer Vision 1998, pp. 17–24 (1998)Google Scholar
  6. 6.
    Seitz, S.M., Kutulakos, K.N.: A theory of shape by space carving. International Journal of Computer Vision, 199–218 (2000)Google Scholar
  7. 7.
    Vedula, S., Baker, S., Seitz, S.M., Kanade, T.: Shape and motion carving in 6D. In: Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 592–598 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yoo-Kil Yang
    • 1
  • Jung Lee
    • 2
  • Soo-Kyun Kim
    • 2
  • Chang-Hun Kim
    • 2
  1. 1.Dept. of Visual Information ProcessingKorea University 
  2. 2.Dept. of Computer Science and EngineeringKorea University 

Personalised recommendations