“Detail calibration for out-of-core model simplification through interlaced sampling” by Fei, Magnenat-Thalmann, Cai and Wu

  • ©Guangzheng Fei, Nadia Magnenat-Thalmann, Kangying Cai, and Enhua Wu



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    Detail calibration for out-of-core model simplification through interlaced sampling

Session/Category Title:   Geometric Modeling



    Instead of generating an initial in-core model in first pass and performing a second pass adaptive processing over the original model according to the detail analysis of the in-core model, in this paper we propose a single-pass algorithm to realize detail calibration by introducing a scheme of interlaced sampling in order to obtain higher efficiency.


    1. Fei, G., Cai, K., Guo, B., and Wu, E. An adaptive sampling scheme for out-of-core simplification. Computer Graphics Forum, to appear.
    2. Lindstrom, P. 2000. Out-of-core simplification of large polygonal models. In Proceedings of SIGGRAPH 2000, Computer Graphics Proceedings, Annual Conference Series, ACM.
    3. Shaffer, E., and Garland, M. 2001. Efficient adaptive simplification of massive meshes. In Proceedings of IEEE Visualiztion 2001.

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