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Smooth Boundary Surfaces from Binary 3D Datasets

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Volume Graphics

Abstract

Computer graphics relies on several types of internal representations of synthetic worlds. The models so represented are the ones rendered to the screen to create the illusion of reality. Internally, two inherently distinct types of representations exist. The continuous representation uses a collection of geometric objects such as polygons or splines to represent the model. The discrete representation samples the object and represents it by a discrete collection of points in space. An image is an example of a 2D discrete object while a texture mapped polygon combines elements from both representations. Historically, computer graphics has mainly dealt with the continuous approach and invested most of its efforts in building software and hardware systems for its rapid rendering. In the last decade a growing interest in discrete graphics has emerged, mainly in the applications of texture mapping, volume rendering, and image based rendering. In these applications, a collection of 3D coloured points called voxels is commonly employed, and the term voxel representation is commonly used to stand for any discrete graphics object.

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References

  1. Kaufman A, Cohen D, Yagel R. Volume graphics. IEEE Computer, 1993; 26 (7): 51– 64.

    Google Scholar 

  2. Wright J, Hsieh J. A voxel-based, forward projection algorithm for rendering surface and volumetric data. In: Proc. IEEE Visualization ’92, Boston, 1992; 340–348.

    Google Scholar 

  3. Cohen-Or D, Rich E, Lerner U, Shenkar V. Real-time photo-realistic visual flythrough. IEEE Transactions on Visualization and Computer Graphics, 1996; 2(3).

    Google Scholar 

  4. Shareef N, Yagel R. Rapid previewing via volume-based solid modeling. In: Proc. the 3rd Symposium on Solid Modeling and Applications, Solid Modeling ’95, Salt Lake City, Utah, May 1995; 281– 292.

    Google Scholar 

  5. Lu SC, Rebello AB, Miller RA, Kinzel GL, Yagel R. A simple visualization tool to support concurrent engineering design. Computer-Aided Design Journal, 1997; 29 (10): 727– 735.

    Article  Google Scholar 

  6. Greene N. Voxel space automata: Modeling with stochastic growth processes in voxel space. ACM/SIGGRAPH Computer Graphics, 1989, 23: 175– 184.

    Article  Google Scholar 

  7. Lengyel J, Reichert M, Donald BR, Greenberg DP. Real-time robot motion planning using rasterizing computer graphics hardware. ACM/SIGGRAPH Computer Graphics, 1990; 24: 327– 335.

    Article  Google Scholar 

  8. Lischinski D, Rappoport A. Image-based rendering for non-diffuse synthetic scenes. In: Proc. the 9th Eurographics Workshop on Rendering, 1998.

    Google Scholar 

  9. Yagel R, Ebert DS, Scott J, Kurzion Y. Grouping volume Tenderers for enhanced visualization in computational fluid dynamics. IEEE Transactions on Visualization and Computer Graphics, 1995; 1 (2): 117– 132.

    Article  Google Scholar 

  10. Tiede U, Schiemann T, Hoehne KH. High quality rendering of attributed volume data. In: Proc. IEEE Visualization ’98, 1998.

    Google Scholar 

  11. Yagel R, Cohen D, Kaufman A. Normal estimation in 3D discrete space. The Visual Computer, 1992, 8 (5/6): 278– 291.

    Article  Google Scholar 

  12. Mveller T, Machiraju R, Mueller K, Yagel R, A comparison of normal estimation schemes. In: Proc. IEEE Visualization ’97, Phoenix AZ, October 1997; 196 - 204.

    Google Scholar 

  13. Cohen-Or D, Levin D, Solomovici A. Three dimensional distance field metamorphosis. ACM Transactions on Graphics, 1998; 17(2).

    Google Scholar 

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© 2000 Springer-Verlag London

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Cohen-Or, D., Kadosh, A., Levin, D., Yagel, R. (2000). Smooth Boundary Surfaces from Binary 3D Datasets. In: Chen, M., Kaufman, A.E., Yagel, R. (eds) Volume Graphics. Springer, London. https://doi.org/10.1007/978-1-4471-0737-8_4

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  • DOI: https://doi.org/10.1007/978-1-4471-0737-8_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-192-4

  • Online ISBN: 978-1-4471-0737-8

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