[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

Compression of multiple depth maps for IBR

  • original article
  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

Image-based rendering techniques include those with geometry and those without. Geometric information in the form of a depth map aligned with the image holds a lot of promise for IBR due to the several methods available to capture it. It can improve the quality of generated views using a limited number of views. Compression of light fields or multiple images has attracted a lot of attention in the past. Compression of multiple depth maps of the same scene has not been explored much in the literature. We propose a method for compressing multiple depth maps in this paper using geometric proxy. Different quality of rendering and compression ratio can be achieved by varying different parameters. Experiments show the effectiveness of the compression technique on several model data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Adelson, E.H., Bergen, J.R.: The plenoptic function and the elements of early vision. In: Computational Models of Visual Processing. MIT Press, Cambridge, MA (1991)

  2. Baker, H., Tanguay, D., Sobel, I., Dan Gelb, M.E.G., Culbertson, W.B., Malzbender, T.: The Coliseum Immersive Teleconferencing System. In: International Workshop on Immersive Telepresence (ITP2002) (2002)

  3. Buehler, C., Bosse, M., McMillan, L., Gortler, S.J., Cohen, M.F.: Unstructured lumigraph rendering. In: SIGGRAPH (2001)

  4. Chen, S., Williams, L.: View interpolation for image synthesis. In: SIGGRAPH (1993)

  5. Curless, B., Levoy, M.: A volumetric method for building complex models from range images. In: SIGGRAPH (1996)

  6. Debevec, P.E., Taylor, C.J., Malik, J.: Modeling and rendering architecture from photographs: a hybrid geometry and image-based approach. In: SIGGRAPH (1996)

  7. Girod, B., Chang, C.L., Ramanathan, P., Zhu, X.: Light field compression using disparity-compensated lifting. In: ICASSP (2003)

  8. Gortler, S.J., Grzeszczuk, R., Szeliski, R., Cohen, M.F.: The lumigraph. In: SIGGRAPH (1996)

  9. Gortler, S.J., He, L.W., Cohen, M.F.: Rendering layered depth images. Tech. Rep. MSTR-TR-97-09, Microsoft Research (1997).

  10. Gotz, D., Mayer-Patel, K., Manocha, D.: Irw: an incremental representation for image-based walkthroughs. In: MULTIMEDIA ’02: Proceedings of the 10th ACM International Conference on Multimedia, pp. 67–76. ACM Press, New York (2002)

  11. Heckbert, P.S., Garland, M.: Survey of polygonal surface simplification algorithms. Tech. Rep. CMU-CS-95-194 (1997)

  12. Ihm, I., Park, S., Lee, R.K.: Rendering of spherical light fields. In: Pacific Graphics (1997)

  13. Yu, J., McMillian, L., Gortler, S.: Scam light field rendering. In: Pacific Graphics (2002)

  14. Kanade, T., Rander, P.W., Narayanan, P.J.: Virtualized reality: constructing virtual worlds from real scenes. IEEE Multimedia 4(1), 34–47 (1997)

    Google Scholar 

  15. Krishnamurthy, R., Chai, B.B., Tao, H., Sethuraman, S.: Compression and transmission of depth maps for image-based rendering. In: International Conference on Image Processing (2001)

  16. Levoy, M., Hanrahan, P.: Light field rendering. In: SIGGRAPH (1996)

  17. Lorensen, W.E., Cline, H.E.: Marching cubes: a high Resolution 3D surface construction algorithm. In: SIGGRAPH (1987)

  18. Magnor, M., Eisert, P., Girod, B.: Multi-view image coding with depth maps and 3D geometry for prediction. In: Proceedings SPIE Visual Communication and Image Processing (VCIP-2001), San Jose, CA, 2001, pp. 263–271

  19. Mark, W.R., McMillan, L., Bishop, G.: Post-rendering 3D warping. In: SI3D ’97: Proceedings of the 1997 symposium on Interactive 3D Graphics, pp. 7–16. ACM Press, New York (1997)

  20. Matusik, W., Buehler, C., Raskar, R., McMillan, L., Gortler, S.: Image-based visual hulls. In: Proceedings of ACM SIGGRAPH, 2000, pp. 369–374

  21. McMillan, L., Bishop, G.: Plenoptic modeling: an image-based rendering algorithm. In: SIGGRAPH (1995)

  22. Narayanan, P.J., Rander, P.W., Kanade, T.: Constructing virtual worlds using dense stereo. In: Proceedings of the International Conference on Computer Vision (1998)

  23. Narayanan, P.J., Penta, S.K., Sireesh Reddy, K.: Depth+texture representation for image-based rendering. In: ICVGIP (2004)

  24. Seitz, S.M., Dyer, C.R.: View morphing. In: SIGGRAPH (1996)

  25. Shum, H.Y., He, L.W.: Rendering with concentric mosaics. In: SIGGRAPH (1999)

  26. Shum, H.Y., Kang, S.B., Chan, S.C.: Survey of image-based representations and compression techniques. IEEE Trans. Circuits Syst. Video Technol. 13(11), 1020–1037 (2003)

    Google Scholar 

  27. Shum, H.Y., Sun, J., Yamazaki, S., Li, Y., Tang, C.K.: Pop-up light field: an interactive image-based modeling and rendering system. ACM SIGGRAPH 23(2), 143–162 (2004)

    Google Scholar 

  28. Tong, X., Gray, R.M.: Coding of multi-view images for immersive viewing. In: ICASSP, Istanbul, Turkey, 9 June 2000

  29. Towles, H., Chen, W.C., Yang, R., Kam, S.U., Fuchs, H.: 3D Tele-Collaboration over internet 2. In: International Workshop on Immersive Telepresence, Juan Les Pins, France, 6 December 2002

  30. Wilson, A., Mayer-Patel, K., Manocha, D.: Spatially-encoded far-field representations for interactive walkthroughs. In: Proceedings of the 9th ACM International Conference on Multimedia, Ottawa, Canada, 2001, pp. 348–357

  31. Zitnick, C.L., Kang, S.B., Uyttendaele, M., Winder, S., Szeliski, R.: High-quality video view interpolation using a layered representation. ACM Trans. Graph. 23(3), 600-608 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sashi Kumar Penta.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Penta, S., Narayanan, P. Compression of multiple depth maps for IBR. Visual Comput 21, 611–618 (2005). https://doi.org/10.1007/s00371-005-0337-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00371-005-0337-8

Keywords

Navigation