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Image-Based Rendering

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Computer Vision

Synonyms

Image-based rendering (IBR)

Related Concepts

Light Field; Lumigraph; Plenoptic Function

Definition

Image-based rendering (IBR) refers to a collection of techniques and representations that allows 3D scenes and objects to be visualized and manipulated in a realistic way without full 3D model reconstruction.

Background

One of the primary goals in computer graphics is photorealistic rendering. Motivated by the difficulties in achieving full photorealism with conventional 3D and model-based graphics, image-based rendering which works directly with real images has proposed as an alternative approach to reduce the rendering and capturing complexity. Depending on how the images are being taken and the auxiliary information, such as depths, etc., required, a number of image-based representations supporting different viewing freedom and functionalities are available. These range from the familiar two-dimension (2D) panoramas to more sophisticated representations such as the...

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References

  1. Adelson EH, Bergen JR (1991) The plenoptic function and the elements of early vision. In: Landy M, Movshon JA (eds) Computational models of visual processing. MIT, Cambridge, MA

    Google Scholar 

  2. Agrawala M, Ramamoorthi R, Heirich A, Moll L (2000) Efficient image-based methods for rendering soft shadows. In: Proceedings of ACM SIGGRAPH, New Orleans, 372–384

    Google Scholar 

  3. Chan SC, Shum HY, Ng KT (2007) Image-based rendering and synthesis: technological advances and challenges. IEEE Signal Process Mag 24(6):22–33

    Article  Google Scholar 

  4. Chan SC, Gan ZF, Ng KT, Ho KL, Shum HY (2009) An object-based approach to image/video-based synthesis and processing for 3-D and multiview televisions. IEEE Trans. Circuits Syst Video Technol 19(6):821–831

    Article  Google Scholar 

  5. Chen SE (1995) QuickTime VR – an image-based approach to virtual environment navigation. In: Proceedings of ACM SIGGRAPH, Los Angeles, 29–38

    Google Scholar 

  6. Debevec PE, Taylor CJ, Malik J (1996) Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach. In: Proceedings of ACM SIGGRAPH, New Orleans, 11–20

    Google Scholar 

  7. Debevec PE, Yu Y, Borshukov G (1998) Efficient view-dependent image-based rendering with projective texture-mapping. In: Eurographics workshop on rendering, Vienna, 150–116

    Google Scholar 

  8. Gortler SJ, Grzeszezuk R, Szeliski R, Cohen MF (1996) The lumigraph. In: Proceedings of ACM SIGGRAPH, New Orleans, 43–54

    Google Scholar 

  9. Levoy M, Hanrahan P (1996) Light field rendering. In: Proceedings of ACM SIGGRAPH, New Orleans, 31–42

    Google Scholar 

  10. Lhuillier M, Quan L (2003) Image-based rendering by joint view triangulation. IEEE Trans Circuits Syst Video Technol 13(11):1051–1063

    Article  Google Scholar 

  11. McMillan L, Bishop G (1995) Plenoptic modeling: an image-based rendering system. In: Proceedings of ACM SIGGRAPH, Los Angeles, 39–46

    Google Scholar 

  12. Ng R, Ramamoorthi R, Hanrahan P (2004) Triple product wavelet integrals for all-frequency relighting. In: Proceedings of ACM SIGGRAPH, Los Angeles, 477–487

    Google Scholar 

  13. Shade J, Gortler S, He LW, Szeliski R (1998) Layered depth images. In: Proceedings of ACM SIGGRAPH, Orlando, 231–242

    Google Scholar 

  14. Shum HY, He LW (1999) Rendering with concentric mosaics. In: Proceedings of ACM SIGGRAPH, Los Angeles, 299–306

    Google Scholar 

  15. Shum HY, Kang SB, Chan SC (2003) Survey of image-based representations and compression techniques. IEEE Trans Circuits Syst Video Technol 13(11):1020–1037

    Article  Google Scholar 

  16. Shum HY, Sun J, Yamazaki S, Li Y, Tang CK (2004) Pop-up light field: an interactive image-based modeling and rendering system. ACM Trans Graph 23(2):143–162

    Article  Google Scholar 

  17. Shum HY, Chan SC, Kang SB (2007) Image-based rendering. Springer, New York

    MATH  Google Scholar 

  18. Snavely N, Simon I, Goesele M, Szeliski R, Seitz SM (2010) Scene reconstruction and visualization from community photo collections. Proc IEEE Internet Vis 98(8): 1370–1390

    Google Scholar 

  19. Sloan P, Kautz J, Snyder J (2002) Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environment. In: Proceedings of ACM SIGGRAPH, San Antonio, 527–536

    Google Scholar 

  20. Szeliski R, Shum HY (1997) Creating full view panoramic image mosaics and environment maps. In: Proceedings of ACM SIGGRAPH, Los Angeles, 251–258

    Google Scholar 

  21. Wood DN, Azuma DI, Aldinger K, Curless B, Duchamp T, Salesin DH, Stuetzle W (2000) Surface light fields for 3D photography. In: Proceedings of ACM SIGGRAPH, New Orleans, 287–296

    Google Scholar 

  22. Zhou K, Hu Y, Lin S, Guo B, Shum HY (2005) Precomputed shadow fields for dynamic scenes. In: Proceedings of ACM SIGGRAPH, Los Angeles, 1196–1201

    Google Scholar 

  23. Zu ZY, Ng KT, Chan SC, Shum HY (2010) Image-based rendering of ancient Chinese artifacts for multi-viewdisplays – a multi-camera approach. In: Proceedings of 2010 IEEE international symposium on circuits and systems (ISCAS), Paris, 3252–3255

    Google Scholar 

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Chan, S.C. (2014). Image-Based Rendering. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_4

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