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Orthogonal Unified Buffer with Memory Efficiency

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Computer Science and its Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 203))

Abstract

In this paper, we introduce an Orthogonal Unified Buffer (OUB), which is an extension of the Layered Depth Cube (LDC) as an alternative to the Orthogonal Frame Buffer (OFB). Compared to the OFB, the OUB achieves significant improvement in memory efficiency, which enables a high-resolution representation of 3D models that have various depth-complexities. Similar to the OFB, the OUB resamples the surface nearly uniformly while conserving data locality. As a grid-based texture mapping method, the OUB shows satisfactory memory efficiency and is independent of an object’s shape or topology. Our method is built and handled on the GPU, thus it is well suited for real-time rendering.

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References

  1. Shade, J., Gortler, S., He, L.-W., Szeliski, R.: Layered depth images. In: Proceeding of SIGGRAPH’98, pp. 231–242 (1998)

    Google Scholar 

  2. Lischinski, D., Rappoport, A.: Image-based rendering for nondiffuse synthetic scenes. In: Proceeding of Rendering Techniques’98, pp. 301–314 (1998)

    Google Scholar 

  3. Buerger, K., Kruger, J., Westermann, R.: Sample-based surface coloring. IEEE Trans. Vis. Comput. Graph. 16, 763–776 (2010)

    Article  Google Scholar 

  4. Myers, K., Bavoil, L.: Stencil routed a-buffer. In Proceeding of SIGGRAPH’07 Sketches (2007)

    Google Scholar 

  5. Yang, J.C., Hensley, J., Grn, H., Thibieroz, N.: Real-time concurrent linked list construction on the GPU. J. Comput. Graph. Forum 29(4), 1297–1304 (2010)

    Article  Google Scholar 

  6. Ma, S.D., Lin, H.: Optimal texture mapping. In: Proceeding of Eurographics‘88, pp. 421–428 (1988)

    Google Scholar 

  7. Bennis, C., V′ezien, J.-M., Igl′esias, G.: Piecewise surface flattening for non-distorted texture mapping. In: Proceeding of SIGGRAPH’91, vol. 25, pp. 237–246 (1991)

    Google Scholar 

  8. Maillot, J., Yahia, H., Verroust, A.: Interactive texture mapping. In Proceeding of SIGGRAPH’93, pp. 27–34 (1993)

    Google Scholar 

  9. Zhang, E., Mischaikow, K., Turk, G.: Feature-based surface parameterization and texture mapping. ACM Trans. Graph. 24, 1–27 (2005)

    Article  Google Scholar 

  10. Hormann, K., Greiner, G.: MIPS: an efficient global parameterization method. In: Laurent, P.-J., Sablonniere, P., Schumaker, L.L. (eds.) Curve and Surface Design: Saint-Malo 1999. Vanderbilt University Press, Nashville, pp. 153–162 (2000)

    Google Scholar 

  11. Sander, P.V., Snyder, J., Gortler, S.J., Hoppe, H.: Texture mapping progressive meshes. In: Proceeding of SIGGRAPH’01, pp. 409–416 (2001)

    Google Scholar 

  12. Floater, M.S.: Mean value coordinates. J. Comput. Aided Geom. Des. 20, 19–27 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  13. Lefebvre, S., Hoppe, H.: Perfect spatial hashing. In: Proceeding of ACM SIGGRAPH’06, pp. 579–588 (2006)

    Google Scholar 

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Acknowledgments

This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2011-357-D00202).

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Authors and Affiliations

  1. Liris Laboratory, University Claude Bernard Lyon 1, Lyon, France

    SangHyun Seo

  2. InusTech Inc, Seoul, Korea

    JaeMoon Choi

Authors
  1. SangHyun Seo
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  2. JaeMoon Choi
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Corresponding author

Correspondence to SangHyun Seo .

Editor information

Editors and Affiliations

  1. , Electrical Engineering & ComputerScience, Mokwon University, Daejeon, Korea, Republic of (South Korea)

    Sang-Soo Yeo

  2. , Department of Computer Science, Georgia State University, Atlanta, 30302-3994, USA

    Yi Pan

  3. , Division of Computer Engineering, Mokwon University, Mokwon Gil-21, Doan-dong, Seo-gu, Daejeon, 302-729, Korea, Republic of (South Korea)

    Yang Sun Lee

  4. , Division of Business Administration, Sangmyung University, Seoul, Korea, Republic of (South Korea)

    Hang Bae Chang

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© 2012 Springer Science+Business Media Dordrecht

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Seo, S., Choi, J. (2012). Orthogonal Unified Buffer with Memory Efficiency. In: Yeo, SS., Pan, Y., Lee, Y., Chang, H. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 203. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5699-1_46

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  • DOI: https://doi.org/10.1007/978-94-007-5699-1_46

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5698-4

  • Online ISBN: 978-94-007-5699-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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